Mechanical Engineers Reference Book 12 Part 17 ppt

Boundary conditions, specifying values of the depen- dent variable and/or its derivatives, may also be homogeneous 17.5.2.1 First-order linear equations A first-order linear differentia

Series and transforms 17/13

Figure 17.15 Sawtooth wave

Figure 67.16 Pulse wave

S ( t ) % 1 Rect(t) (unit length, unit amplitude pulse, centred on 1 = 0):

rect(t) % sin .irfi~f Gaussian distribution:

exp(- Trt’) % exp( -@) Repeated and impulse (delta function) sampled waveforms:

exp(j2vfot) % S(f - fo)

17.3.16 Laplace transforms

, Among other applications, these are used for converting from

the time domain to the frequency domain

x, = jo x(t)exp(-st)

sT(s) - x ( 0 )

s 4 ( s - SX(0) - x'(0)

Heaviside step function

in which A is the matrix of the coefficients at,, and x and b are

the column matrices (or vectors) (xl x,J and ( b , bn)

In this case the matrix A is square ( n x n) The equations can

be solved unless two or more of them are not independent, in which case

det A = IAi = 0

and there then exist non-zero solutions xi only if b = 0 If

det A # 0, there exist non-zero solutions only if b # 0 When

The transpose of A is written A' or A t and is the matrix whose

rows are the columns of A, i.e

(A'Iij = (Alii

A square matrix may be equal to its transpose, and it is then

said to be symmetrical If the product AB exists, then (AB)' = B'A'

17.4.1 Linear simultaneous equations

The set of equations

allxl + aI2x2 + + alnx, = bl

aZ1x1 + a22x2 + + aznx,, = bl

17.4.2.4 Inverse

If A is non-singular, the inverse A-' is given by

A-' = adj Ndet A and A-'A = AA-' = 1

the unit matrix

n

anlxl + ~ " 2 x 2 + + annx, = b ,

x: = yj!

and determinants 5

If two rows or two columns are interchanged, the numerical value of the determinant is unaltered, but the sign will be changed if the permutation of rows or columns is odd

If two rows or two columns are identicai, the determinant is zero

If each element of one row or one column is multiplied by k ,

so is the value of the determinant

If any row or column is zero, so is the determinant

If each element of thepth row or column of the determinant

c, is equal to the sum of the elements of the same row or

column in determinants ars and b,, then

17.4.3 Eigenvalues and eigenvectors

The equation

Ax = Ax

where A is a square matrix, x a column vector and A a number

(in general complex) has at most n solutions (x, A) The values

of h are eigenvalues and those of x eigenvectors of the matrix

A The relation may be written

(A - h l ) ~ = 0

so tha? if x # 0, the equation A - AI = 0 gives the eigen-

vaiues If A is symmetric and real, the eigenvalues are real If

A is symmetric, the eigenvectors are orthogonal If A is not

symmetric, the eigenvalues are complex and the eigenvectors

are not orthogonal

17.4.4 Coordinate transformation

Suppose I and y are two vectors related by the equation

y = Ax

when their components are expressed in one orthogonal

system and that a second orthogonal system has unit vectors

u l , u2, , , u, expressed in the first system The components

of x and y expressed in the new system will be x' and y', where

X I = U ' X , y f = U'y

' is the orthogonal matrix whose rows are the unit

vectors u \ u;, etc Then

y' = U'y = U'Ax = IJ'Ax = U'AIJx'

is defined as fellows The first suffix in a , refers to the row,

the second to the column which contains ars Denote by M ,

the determinant left by deleting the rth row and sth column

from D , then

k = l

gives the value of D in terms of determinants of order n - 1

hence by repeated application, of the determinant in terms of

that is, the transposed determinant is equal to the original

The addition of any multiple of one row (or column) to another row (or column) does cot alter the value of the determinant

17.4.6.1 Minor

If row p and column q are deleted from larsl the remaining determinant M,, is called the minor of a,,

17.4.6.2 Cofactor

The cofactor of ap4 is the minor of aq4 prefixed by the sign

which the product M,,a,, would have in the expansion of the determinant, and is denoted by Ap,:

A,, = (- l)P+qMp,

A determinant a,, in which a,, = a,, for al! i and j is called

symmetric whilst if a,, = -a,[ for all i and j , the determinant is

skew-symmetric It follows that a,, = 0 for all i in a skew- symmetric determinant

17.4.7 Numerical solution of linear equations

Evaluation of a determinant by direct expansion in terms of elements and cofactors is disastrously slow and other methods are available, usually programmed on any existing computer system

17.4.7.1

triangular or to diagonal f o r m

The system of equations may be written

Reduction of determinant or matrix to upper

fl22

all2 ' '

The variable x1 is eliminated from the last n - 1 equations by

adding a multiple - a j l / a l l of the first row to the ith, obtaining

all a12

where primes indicate altered coefficients This process may

be continued by eliminating x 2 from rows 3 to n , and so on

17/16 Engineering mathematics

Eventually the form will become A linear differential equation is one which is linear in the

dependent variable and its derivatives, having the general form all a12 ' ' a In

0 ai2 ain

0 0 a;,,

.

. .

x,, can now be found from the nth equation, substituted in the

(n - 1)th to obtain x,-1 and so on

Alternatively the process may be applied to the system of

equations in the form

Ax = Ib

where I is the unit matrix, and the same operations carried out

upon 1 as upon A If the process is continued after reaching the

upper triangular form, the matrix A can eventually be reduced

to diagonal form Finally, each equation is divided by the

corresponding diagonal element of A, thus reducing A to the

unit matrix The system is now in the form

Ix = Bb

and evidently 6 = A-' The total number of operations

required is O(n3)

A differential equation is an equation involving a dependent

variable and its derivatives with respect to one or more

independent variables An ordinary differential equation is

one in which there, is only one independent vari-

able - conventionally x or t A partial differential equation is

one in which there are several independent variables

17.5.1 Notation and definitions

An ordinary differential equation with y as dependent variable

and x as independent variable has the general form

f [ x ; y , % $ , } = 0

where f{ } represents some specified function of the argu-

ments Solving a differential equation involves obtaining an

explicit expression for y as a known function of x

The order of a differential equation is the order of the

highest derivative appearing in it Thus

- + 3 - + 6y = 6

is a second-order equation A differential equation of order n

has a general solution containing n arbitrary constants Speci-

fied values of the dependent variable and/or its derivatives

which allow these arbitrary constants to be determined are

called boundary conditions or (when the independent variable

is t and the values are given at t = 0) initial conditions

Boundary conditions in which the dependent variable or its

derivatives are assigned zero values are called homogeneous

boundary conditions A solution in which the arbitrary con-

stants take definite values is called a particular solution

wherepo ( x ) p , ( x ) and f(x) are specified functions of x If

f(x) # 0 the differential equation is said to be inhomogeneous

If f(x) = 0, so that

the differential equation is said to be homogeneous

In a partial differential equation the independent variables are normally variables defining spatial position plus (possibly) time A particular solution of a partial differential equation requires the definition of a solution region with a bounding curve or bounding surface, together with the specification of suitable boundary conditions on that curve or surface A partial differential equation, like an ordinary differential equation, may be linear or non-linear, and a linear partial differential equation may be homogeneous or inhomoge- neous Boundary conditions, specifying values of the depen- dent variable and/or its derivatives, may also be homogeneous

17.5.2.1 First-order linear equations

A first-order linear differential equation has the general form pl(x)(dyldx) + po(x)y = f(x), which can be written as

This equation has the general solution

(17.3)

(17.4) where C is an arbitrary constant The function

known as the integrating factor

is

17.5.2.2 Linear equations with constant coefficients Homogeneous equations A second-order homogeneous lin- ear differential equation with constant coefficients has the general form

If the roots of the auxiliary equation are complex, with values A I = a + I p , A? = a - ip, it is more convenient to write the general solution of the differential equation in the form

y = e"(C1 cos px + C2 sin px) (17.7)

Differential equations 17/17

tions This procedure generates a linear differential equation (with order equal to the sum of the orders of the original equations) for one of the dependent variables: after solution

of this equation the other dependent variables can be obtained

where again Ci, C 2 are arbitrary constants

The solution of third- and higher-order homogeneous equa-

tions follows a similar pattern, the auxiliary equation being a

polynomial equation in h of appropriate degree

Inlzomogeneous equations A second-order inhomogeneous

linear differential equation with constant coefficients has the

general form

a 7 + b - + cy = f ( x ) (17.9)

where f ( x ) is a specified function The general solution of

equation (17.9) is the general solution of the homogeneous

equation (17.5) containing two arbitrary constants (this solu-

tion is called the coinpleinentary funcrion) plus a function

(ca!led the particuhr integral) which, when substituted into

equation (17.9), gives the correct function f ( x ) on the right-

hand side

For many simple right-hand sides the particular integral can

be found by replacing y in the differential equation by a 'trial

solution' containing one or more unknown parameters, here

written as CY, p, etc

(ax" + ox"-' + )e';

a sin kx + p cos kx (If only even differential co-

1 ( efficients occur in the differential equation then

c sin kx or p cos kx is sufficient.)

Equating the coefficients of the functions on the two sides of

the equation gives the values of the parameters This tech-

nique can also be used to solve equations of third and higher

orders

If f ( x ) has the same form as one of the terms in the

complemixtary function then the substitution y = uf(x)

should be made, where II is an unknown function of x This

substitution generates a simple differential equation for u ( x )

Simziltnnroits linear differential equations The analysis of a

linear mechanical or electrical system with several degrees of

freedom may require the solution of a set of simultaneous

linear differencial equations in which there is one indepen-

dent variabie (normally time) and several dependent vari-

ables Iil 'cases where the equations have constant coefficients,

the equations can be solved by a procedure very similar to the

elimination method fo; soiving sets of linear algebraic equa-

where &(x) is the particular integral and C,&(x) +

C?!f?(x) + + C,!f,(x) is the complementary function

Once this general solution has been found, the values of the n

constants C1, , C, can be obtained by imposing n bound-

ary or initial conditions, i.e n values of y and/or its derivatives

at particular values of x If all the boundary conditions are specified at a single value of x the problem is referred to as a

one-point boundary-va!ue problem or, if the independent variable is t and the conditions are specified at t = 0, as an

initial-value problem Initial value problems can also be solved

by the use of Laplace transforms (see Section 17.3.16) The Laplace transform method determines a particulzr solution of

a differential equation with the initial conditions inserted, rather than the general solution (17.10)

Impulse and frequency responses: the convolution in- tegral The solution of the differential equation

with initial conditions (d"-'y)/(dt"-') = 1/a,,, (d"-2)/(dt"-2)

= dyldt = y = 0 at 1 = 0 Alternatively, it can be

found by the use of Laplace transforms

The solution of equation (17.11) for an arbitrary right-hand

side f ( ~ ) is given in terms of the impulse response g(t) by the

convolution integra!

-

(17.13) This integral is symmetric in the functions g and f, and can therefore be written in the alternative form

Y(t) = ~ ' f ( T ) S ( f - 7)dT (17.14)

If f ( t ) = elw' and equation (17.11) represents a stable system (i.e the complementary function has no exponential terms with positive real part) then as r + 33 the solution tends to the 'steady state' form y ( f ) = G(o)e'"' The complex function

17/18 Engineering mathematics

G ( w ) is called the frequency response of the system It may be

obtained from the differential equation by substituting the

trial solution y = ae'"' or from the impulse response by the

use of equation (17.13) The latter derivation gives the result

G ( w ) = g(T)e-iWTdT (17.15)

This equation states that the frequency response G(w) is the

Fourier transform of the impulse response g(t) (see Section

17.3.15)

17.5.2.3 Linear equations with variable coefficients

Second- and higher-order linear equations with variable coef-

ficients do not, in general, have solutions which are

expressible in terms of elementary functions However, there

are a number of second-order equations which occur fre-

quently in applied mathematics and for which tables of

solutions exist Sub-routines for generating these solutions are

available on most scientific computers Two of the most

important of these equations are

1 d'y dY Bessel's equation: x' - + x - + (A2x2 - n')y = 0

In certain other cases an equation with variable coefficients

can be converted into one with constant coefficients by means

of a change of variable In general however, solutions of

linear differential equations with variable coefficients can only

be obtained by approximate methods

17.5.3 Ordinary differential equations: approximate

solutions

Appi >ximate solutions of differential equations can be ob-

tained I v graphical, numerical or analytical methods

17.5.3.1 A graphical method for first-order equations

A graphical solution of the general first-order equation

dyldx = f(x,y) can be obtained as follows A series of curves

f ( x , y ) = c l r c2, , cir (termed isoclines) are drawn in

the x , y plane, where the c's are suitable constants On each

isocline line-segments are drawn with slope equal to the

associated value of ci: these segments give the direction of the

solutions as they cross the isocline The general form of these

solutions can be obtained by joining up the segments to form

continuous curves

A simple example is shown in Figure 17.17, which illustrates

the solution of the differential equation dyldx = - x / y The

isoclines -x/y = c l , c2, , ci, are straight lines

through the origin, and the segments which form part of the

solutions are always perpendicular to the isoclines It is clear

from the figure that the solutions are circles centred on the

origin: this is easily verified analytically

17.5.3.2 Approximate numerical methods

Derivatives and differences If a continuous function y ( x ) is

sampled at a series of equally spaced points x o , , ,

x , , , x~ to give a set of values yo, , yn, , y~ then

it follows from the definition of a differential coefficient that

(17.20) and the process can be continued in a similar way to give approximations to (d3yldx3),+,/?, etc The quantities (y1 -

yo), (y,l+l - y,), ( y ~ - y,+1) are termed the first

Differential equations 6 7 1 9

the solution over the next interval The truncation error in a single step is O(h2) If the step-length h is kept constant over a given range 0 6 i 6 T the number of steps is Tlh, so that the

trauncation error over the range is O ( h ) (The round-off error increases with the number of steps, so that there is an optimum value of h which minimizes the total error.) The accuracy of the Euler procedure can be improved by using equation (17.24) as a 'predictor' to obtain an approx- imate value Y : + ~ , which is then inserted in a suitable 'correc- tor' formula to generate a more accurate value of y,+l A simple predictor/qorrector pair is

Predictor y:+1 = y , + hf(f.,yn) (17.25) Corrector Y,+I = Y n + h(f(tn,yn) + f(tn+i.Yn*+i)l/2

One of the most popular predictorxorrector procedures is the Runge-Kutta A single step of the procedure involves four evaluations of f(t,y) in accordance with the formulae

differences of the set of values y,, tlhe quantities (yn+l -

2yn + yn-l), the second differences, and so on The role

of differences in numerical analysis is similar to that of

differential coefficients in calculus

Two-poi,at boundary-value problems An approximate solu-

tion of the second-order linear differential equation

(17.21)

with boundary conditions y = yo at x = 0 y = Y N at x = a

can be found by dividing the solution range 0 6 x S a into N

equal intervals and replacing the continuous function y ( x ) by a

set of N + 1 quantities yrr = y(x,) ( n = 0 , , N ) , where

x, = nh and h = a/N Replacing the differential coefficients

in equatnon (17.21) by the approximations (17.19) and (17.20)

gives

PZ(X,)(.Y,+I - 2yv + y n - I ) + hPl(xn)cVn+i - ~ n - i P

+ h2po(.rn)yn 1 Axir)

Setting up an equation of this form at each of the points

xl, , x, -~ produces a set of n - 1 simultaneous linear

algebraii: equations which can be solved for the unknown

function values y l , , yN-l (the values of yo and y~ which

appear in these equations are known from the boundary

conditions) intermediate values of y ( x ) can be found subse-

quently by interpolation

Initial-volue problems The general first-order differential

equation

(17.23)

with initial condition y = y o at t = f o can be solved by a

step-by-step procedure in which approximate function values

y l , y 2 , , are computed successively at t = tl,t2, The

simplest step-by-step procedure is due to Euler and involves

the replacement of the differentiad equation (17.23) by the

approximation

Y * , + I = ~n + hf(En,Yn) ( n = 0, 1, 2, .) (17.24)

where h is equal to the interval - t, As shown in Figure

17.19 this procedure takes the tangent at each solution point as

Figure 1'7.19 Euler's approximate integration procedure

a 3 = hf(t, + h/2,y, + a2/2), a4 = hf(i,, + h,y, + a3)

the final value of Y , + ~ being

Y , + ~ = y , + { a l + 2a2 + 2a3 + a4}/6 (1 7.26)

The error per step is S ( h 5 ) , so that the error over a given

range of t is O(h4) A computer sub-routine for the Runge- Kutta procedure normally requires a user-supplied sub-routine

to evaluate f(t,y) for specified values of t and y

An initial-value problem involving a differentia! equation of second or higher order can be solved by reducing the differen- tial equation to a set of first-order equations For example, the third-order non-linear equation

can be solved by introducing the additional variables u and v

and writing the equation as

This set of first-order equations for the three variables u , v and

y can be solved by any of the methods described above, the step-by-step procedure being carried forward simultaneously for each of the variables

17.5.3.3 Approximate analytical methods

An approximate solution of a linear differential equation can also be obtained by choosing a set of M basis functions B,,(x)

and expressing the unknown solution y(x) as

where 9 represents a specified linear differential operator and

w(x) is a specified function of x It is assumed that a solution is required in an interval p S x < q and that sufficient homoge-

17/20 Engineering mathematics

neous boundary conditions are specified at x = p and x = q to

make the solution unique It is further assumed that each of

the approximating functions B,(.r), , , B,(x) satisfies these

boundary conditions

In general the approximation (17.27) will not be capable of

satisfying the differential equation (17.28) exactly, whatever

values are assigned to the constants ci: there will be an error

function

(17.29) where b,(x) = Y { B , ( x ) }

Two procedures for finding sets of constants which make the

error E(X) 'small' are Collocation and Galerkin's method

In the Collocation method the constants c, are obtained

by making c(x) zero at a selected set of points xk

( k = 1, , , M ) in the interval p S x S q This generates a

set of M simultaneous equations

M

b , ( X k ) C , = W ( X k ) ( k = 1, , 1 M ) (17.30)

which can be solved for the M constants In Galerkin's method

the constants c , are obtained by making ~ ( x ) orthogonal to

the M basis functions B ( x ) ,

Equation (17.31), like equation (17.30), represents a set of

M linear algebraic equations for the unknown constants c, If

the differential operator 2 is self-adjoint (a condition satisfied

in most practical applications of the method) the coefficients

[q Bk(x)bm(x)dx

form a symmetric matrix If, in addition, the functions B,(x)

are chosen to be the normalized eigenfunctions of the differen-

tial operator 3 , so that 3 { B , ( x ) } = b,(x) = A,B,,(x), then

equation (17.31) takes the simpler form

C k = lq B k ( X ) W ( X ) & I A k ( k = 1, , M ) (17.32)

with each constant ck depending only on the corresponding

function B&)

17.5.4 Partial differential equations

Linear partial differential equations can be classified as ellip-

tic, hyperbolic or parabolic An elliptic differential equation is

one in which the boundary conditions imposed on each

segment of the boundary affect the solution at all points in the

solution region or, conversely, one in which the solution at any

point depends on the boundary conditions over the whole

(17.34) where u is a known function of position This equation governs gravitational fields in regions containing distributed matter, heat conduction in the presence of distributed heat sources, etc

Another elliptic differential equation of interest to mecha- nical engineers is the bi-harmonic equation governing the bending of an initially flat plate:

-+2-+-= a44 a44 a44 -qlD

where 4 is the transverse displacement of the plate, q is the known distribution of transverse load and D is a constant representing the stiffness of the plate

Equations (17.33)-(17.35) can also be written in the more general form V 2 4 = 0, V 2 4 = -cr, 044 = - q / D , where V 2 is the Laplacian operator of vector calculus This operator takes various forms, depending on the coordinate system (Carte- sian, cylindrical polar, spherical polar, etc.) used to define the solution region

A hyperbolic differential equation is one in which the boundary conditions on a segment of the boundary only affect

a part of the solution region or, conversely, one in which the solution at any point only depends on the boundary conditions over part of the boundary, as shown in Figure 17.20(b) The commonest hyperbolic differential equation is the wave equa- tion

or, more generally V 2 4 = - -

- - - _-

Differential equations 17/21

which governs the propagation of sound and other waves in

both fluids and solids

Another common partial differential equation is the diffu-

which governs, for example, the unsteady flow of heat in

solids The diffusion equation is an example of a parabolic

differential equation Such equations can be thought of as

lying on the borderline between elliptic and hyperbolic forms

17.5.4.1

Simple analytical solutions exist for linear partial differential

equation:; with constant coefficients For example, Laplace's

eqaation in two dimensions is satisfied by both the real and

imaginary parts of any analytic function f(z), where z is the

complex variable x + jy This fact allows many two-

dimensional field problems to be solved by a technique known

as conformal mapping Similarly, the one-dimensional wave

equatioil

Analytical solutions: separation of variables

ax2 a' at2

has solutions of the form f ( x k at), where f is an arbitrary

differentiable function These solutions represent waves of

arbitrary shape travelling along the x axis

Analytical solutions of linear partial differential equations

can be obtained by using the method of separation of vari-

ables For a differential equation whose dependent variable is

+ and whose independent variables are x and y this method

involves assuming a solution of the form 4 = X(x)Y(y), where

X is an unknown function of x only and Y is an unknown

function of y only Substitution of this solution into the

differential equation yields ordinary differential equations for

the functions X and Y , which can be solved by methods

described in Section 17.5.2.2

Typical examples of separable solutions are the function

- - -

which satisfies both the two-dimensional Laplace equation and

the homogeneous plate bending equation and the function

which satisfies the one-dimensional diffusion equation

Separalble solutions always contain an arbitrary parameter h

called the separation constant The imposition of boundary

conditions on a solution may result in only certain values of A

being permissible In such cases more general solutions can

often be built up by combining a number of basic solutions

involving these values of A For example the solution of the

one-dimensional diffusion equation given above implies the

existence of a more general solution

1

4 = e-'";'(A cos A& + B , sin A&)

n =

which can be made to fit a variety of boundary conditions by

suitable 'choice of the constants A , , and B,

Figure 17.21 A finite-difference mesh

17.5.4.2 Numerical solutions: the finite-difference method

The finite-difference method for solving partial differential equations is similar to the numerical technique for solving ordinary differential equations with two-point boundary con- ditions described in Section 17.5.3.3 The following example shows how the method can be used to find the steady-state distribution of temperature within the L-shaped region shown

in Figure 17.21 when the temperature variation on the bound- ary of the region is given In this problem the temperature +

satisfies the two-dimensional Laplace equation

a2+ a2+

ax2 a)12

+ - = O

-

with appropriate values of 4 specified on the boundary

The region is first covered with a uniform grid of squares, as

shown in the figure The intersections of the grid lines within the solution region are called nodal points and the values of 4

at these points are called nodal values: it is these values which are determined by the method At each nodal point the partial derivatives which make up the differential equation are replaced by differences, using an appropriately amended version of equation (17.20) This operation converts the partial differential equation into a linear algebraic equation involving the nodal values at the chosen nodal point and its four nearest neighbours If these points are labelled as shown

in Figure 17.22 then the linear equation associated with the

17/22 Engineering mathematics

A similar equation can be constructed for each nodal point

within the solution region (it is not necessary to construct

equations for nodal points on the boundary) For nodal points

adjacent to the boundary at least one of the values

+ q , , 4f will be known

This procedure converts the partial differential equation

into a set of n simultaneous linear equations, where n is the

number of nodal points within the solution region In pre-

computer days these equations were solved by an iterative

process known as relaxation Nowadays they are normally

solved by a computer routine designed to take advantage of

the sparse and banded nature of the coefficient matrix Once

the nodal values have been obtained, values of the solution at

other points within the region can be found by interpolation

\

9 3

17.5.4.3 Numerical solutions: the finite-element method

In recent years the finite-element method has largely replaced

the finite-difference method as the standard numerical tech-

nique for solving problems of heat conduction and stress

analysis in solid bodies To assist in a comparison of the two

approaches the following account considers the heat-

conduction problem solved by finite differences in Section

17.5.4.2

The finite-element method also begins with the construction

of a ‘mesh’ covering the solution region This mesh is com-

monly formed from triangles (the ‘elements’ of the method)

although quadrilaterals can also be used The mesh need not

be uniform - indeed, it is standard practice to grade the mesh

so that it is finer in regions where the solution is likely to vary

rapidly, as shown in Figure 17.23

The finite-element method, like the finite-difference me-

thod, changes the problem of solving a partial differential

equation into that of solving a system of linear algebraic

equations for a set of nodal values However, in contrast to the

finite-difference method, in which the value of the solution is

only defined at the nodal points, the finite-element method

replaces the actual solution by an approximation which is

linear (or, more generally, a low-order polynomial) within

each element

The first stage of the solution procedure involves the

determination of the properties of each individual element A

typical triangular element with nodal values c$~, &, is

shown in Figure 17.24 If the temperature 4 within the

Figure 17.24 A typical finite element

element is assumed to vary linearly with position then it can be expressed in terms of the nodal values as

(17.39) where n l , n2, n3 are simple linear functions of x and y called

shape functions From this expression for 4 it is straightfor- ward to obtain the density of heat flow q (constant within the element) and the amount of heat flowing across each side of the triangle as linear functions of the nodal temperatures

&, 43 In preparation for the next part of the procedure these distributed boundary flows are replaced by ‘equivalent’ con- centrated flows q l , 42, q3 at the vertices of the element, as

shown in Figure 17.24, these concentrated flows being ex- pressed as linear functions of the nodal temperatures &, +2,

43

The second stage of the solution procedure involves joining the elements together to form the solution region This has two consequences First, it imposes conditions of continuity on the temperature 4 If two elements have nodes p and q in common, as shown in Figure 17.25, then they share the same

Sum of flows =

Statistics 17/23

nodal values +p and + q Furthermore, since 4 is linear within

each element, 4 3s also continuous on their common boundary

pq Second, it imposes conditions on the nodal heat flows In

the exact solution of a steady heat-flow problem the net

outflow from any infinitesimal area within the solution region

must be: zero In the finite-element method this condition is

replaced by the condition that at each node within the solution

region the equivalent concentrated nodal flows associated with

the node must add up to zero Since these nodal flows are

known h e a r functions of the associated nodal values, this

condition generates a linear equation which relates the nodal

values at a group of neighbouring nodes Thus for the ele-

ments slhown in Figure 17.25 the condition of zero net outflow

at node p generates a linear equation involving + p and

$I~, , + u There is one such equation for each node within

the solution region

The final stage of the method is the solution of the nodal-

flow equations for the nodal values As with the finite-

difference method, the coefficient matrix for these equations

is both sparse and banded After the equations have been

solved, values of $ at points within elements can be found, if

required, from equation (17.39)

This example has introduced the simplest form of finite

element - the three-node triangle, within which the depen-

dent variable varies linearly Adding three additional nodes,

one on leach side of the triangle, allows a quadratic variation of

the dependent variable within the triangle, giving improved

accuracy Four- and eight-noded quadrilaterals are also popu-

lar elements in the analysis of two-dimensional problems In

three-dimensional analyses the corresponding elements are

tetrahedra, ‘bricks’ and ‘wedges’ Nowadays it is common for

applications of the method to involve meshes with tens of

thousands of nodes

The application of the finite-element method to stress

analysis, follows similar lines, with (vector) displacements

replacing (scalar) temperatures and (tensor) stresses replacing

(vector:) heat flow densities Many commercial computer

programs are now available for solving a wide range of stress

and thermai analaysis problems The method can also be

applied to fluid flow and electromagnetic field problems

7.6 Statistics

17.6.1 Introduction

Data are available in vast quantities in all branches of engin-

eering This chapter presents the more commonly used tech-

niques for presenting and manipulating data to obtain mean-

account all the figures Its disadvantages are that it is

influenced unduly by extreme values and the final result may not be a whole number, which can be absurd at times, e.g a mean of 2f people

17.6.2.2 Median and mode

Median or ‘middle on’ is found by placing all the figures in order and choosing the one in the middle, or if there are an even number of items, the mean of the two central numbers It

is a useful technique for finding the average of items which cannot be expressed in figures, e.g shades of a colour It is

also not influenced by extreme values However, the median is

not representative of all the figures

The mode is the most ‘fashionable’ item, that is, the one which appears the most frequently

17.6.2.3 Geometric mean

The geometric mean of n numbers x l r x2, x g , , x, is given

x g = W ( X 1 x x2 x xg x x x,) (17.41) This technique is used to find the average of quantities which follow a geometric progression or exponential law, such as

rates of changes Its advantage is that it takes into account all the numbers, but is not unduly influenced by extreme values

bY

17.6.2.4 Harmonic mean The harmonic mean of n numbers xi x 2 , x3, , x, is given

by

n

s:=1( l / X J

This averaging method is used when dealing with rates or

speeds or prices As a rule when dealing with items such as A per B, if the figures are for equal As then use the harmonic mean but if they are for equal Bs use the arithmetic mean So

if a plane flies over three equal distances at speeds of 5 m/s,

10 m/s and 15 m/s the mean speed is given by the harmonic mean as

3

= 8.18 m/s

i + L + i 10 I5

If, however, the plane were to fly for three equal times, of say,

20 seconds at speeds of 5 m/s, 10 m/s and 15 m/s, then the mean speed would be given by the arithmetic mean as

( 5 + 10 + 15)/3 = 10 m/s

17.6.3 Dispersion

17.6.3.1 Range and quai-tiles

The average represents the central figure of a series of

numbers or items It does not give any indication of the spread

of the figures, in the series, from the average Therefore, in Figure 17.26, both curves, A and B, have the same average but B has a wider deviation from the average than curve A There are several ways of stating by how much the indi- vidual numbers, in the series, differ from the average The range is the difference between the smallest and largest values The series can also be divided into four quartiles and the dispersion stated as the interquartile range, which is the difference between the first and third quartile numbers, or the quartile deviation which is half this value

17/24 Engineering mathematics

A

Parameter

Figure 17.26 Illustration of deviation from the average

The quartile deviation is easy to use and is not influenced by

extreme values However, it gives no indication of distribution

between quartiles and covers only half the values in a series

17.6.3.2 Mean deviation

This is found by taking the mean of the differences between

each individual number in the series and the arithmetic mean,

or median of the series Negative signs are ignored

For a series of n numbers x l r x 2 , x g , , x , having an

arithmetic mean of .f the mean deviation of the series is given

by

z;=1 1 x , - f 1

(17.43) The mean deviation takes into account all the items in the

series But it is not very suitable since it ignores signs

n

17.6.3.3 Standard deviation

This is the most common measure of dispersion For this the

arithmetic mean must be used and not the median It is

calculated by squaring deviations from the mean, so eliminat-

ing their sign, adding the numbers together and then taking

their mean and then the square root of the mean Therefore,

for the series in Section 17.6.3.2 the standard deviation is

given by

(17.44) The unit of the standard deviation is that of the original series

So if the series consists of the heights of a group of children in

metres, then the mean and standard deviation are in metres

To compare two series having different units, such as the

height of children and their weights, the coefficient of varia-

tion is used which is unitless:

coefficient of variation = 1 U x 100

17.6.4 Skewness

The distribution shown in Figure 17.26 is symmetrical since

the mean, median and mode all coincide Figure 17.27 shows a

skewed distribution It has positive skewness although if it

bulges the other way, the skewness is said to be negative

There are several mathematical ways for expressing skew-

ness They all give a measure of the deviation between the

mean, median and mode and they are usually stated in relative

t

Parameter

Figure 17.27 Illustration of skewness

terms, for ease of comparison between series of different units The Pearson coefficient of skewness is given by mean - mode

standard deviation

Since the mode is sometimes difficult to measure this can also

be stated as 3(mean - median) standard deviation

B, C, D is equal to 6, Le AB, AC, AD, BC, BD, CD This is written as

4C2 = 6 The factorial expansion is frequently used in combination calculations where

n! = n x (n - 1) x ( n - 2) x x 3 x 2 x 1 Using this the number of combinations of n items from a group

CA, AD, DA, BC, CB, BD, DB, CD, DC The number of

permutations of r items from a group of n is given by

n!

" p , = ~

Figure 17.28 A scatlev diagram

.6 Regression and correlation

17.6.6.1 Regression

Regression is a method of establishing a mathematical rela-

tionship between two variables Several equations may be

used to establish this relationship, the most common being

that of a straight fine Figure 17.28 shows the plot of seven

readings This is called a scatter diagram The points can be

seen to lie approximately on the straight line AB

where x is the independent variable, y the dependent variable,

rn is the slope of the line and c its interception on the y-axis c

is negative if the line intercepts the y-axis on its negative part

and m is negative if the line slopes the other way to that shown

in Figure 17.28

The best straight line to fit a set of points is found by the

method of least squares as

The equation or’ a straight line is given by

(17.51)

(17.52)

where n is the number of points The line passes th1ough the

mean values of x and y , Le X and 8

17.6.6.2 Correlation

Correlation is a technique for establishing the strength of the

relationship between variables In Figure 17.28 the individual

figures are scattered on either side of a straight line and

although one can approximate them by a straight line it may

be required to establish if there is correlation between the x-

and y-readings

Several correlation coefficients exist The product moment

correlation coefficient ( r ) is given by

(17.53)

The value of r varies from +1, when all the points lie on a

straight line and y increases with x, to -1, when all the points

lie on a straight line but y decreases with x When r = 0 the points are widely scattered and there is said to be no correla-

tion between x and y

In about 95% of cases, the actual values will lie between plus

or minus twice the standard error of estimated values given by the regression equation This is shown by lines CD and EF in Figure 17.28 Almost all the values will be within plus or minus three times the standard error of estimated values

is the variability of the y-values,

whereas S , is a measure of the variability of the yvalues as they differ from the regression which exists between x and y If there is no regression then r = 0 and uJ, = S,

It is often necessary to draw conclusions from the order in which items are ranked For example two judges may rank contestants in a contest and we need to know if there is any correlation between their rankings This may be done by using the Rank correlation coefficient ( R ) given by

The standard error of estimation in Y is given by

It should be noted that

(17.56) where d is the difference between the two ranks for each item

and n is the number of items The value of R will vary from + 1 when the two ranks are identical to -1 when they are exactly reversed

17.6.7 Probability

If an event A occurs n times out of a total of m cases then the

probability of occurrence is stated to be

Probability varies between 0 and I If P(A) is the probability

of occurrence then 1 - P(A) is the probability that event A will not occur and it can be written as P(A)

If A and B are two events then the probability that either may occur is given by

P(A or B) = P(A) + P(B) - P(A and B) (17.58)

A special case of this probability law is wher, events are

mutually exclusive, i.e the occurrence of one event prevents the other from happening Then

P(BIA) is the probability that event B will occur assuming that

event A has already occurred and P(AIB) is the probability

that event A will occur assuming that event B has already

occurred A special case of this probability jaw is when A and

B are independent events, i.e the occurrence of one event has

no influence on the probability of the other event occurring

Engineering mathematics

Then

P(A and B) = P(A) X P(B)

Bayes' theorem on probability may be stated as

(17.62)

(17.63)

As an example of the use of Bayes' theorem suppose that a

company discovers that 80% of those who bought its product

in a year had been on the company's training course 30% of

those who bought a competitor's product had also been on the

same training course During that year the company had 20%

of the market The company wishes to know what percentage

of buyers actually went on its training course, in order to

discover the effectiveness of this course

If B denotes that a person bought the company's product

and T that they went on the training course then the-problem

is to find P(B1T) From the data P(B) = 0.2, P(B) = 0.8,

P(T/B) = 0.8, P(T/B) = 0.3 Then from equation (17.63)

0.2 x 0.8

0.2 X 0.8 + 0.8 X 0.3

17.6.8 Probability distributions

There are several mathematical formulae with well-defined

characteristics and these are known as probability distribu-

tions If a problem can be made to fit one of these distributions

then its solution is simplified Distributions can be discrete

when the characteristic can only take certain specific values,

such as 0, 1, 2, etc., or they can be continuous where the

characteristic can take any value

17.6.8.1 Binomial distribution

The binomial probability distribution is given by

(p + 9)" = q" + "C1pq"-l + nczp2qn-2

+ , + "c,pxq"-" + + p " (17.64)

where p is the probability of an event occurring, q( = 1 - p ) is

the probability of an event not occurring and n is the number

of selections

The probability of an event occurring m successive times is

given by the binomial distribution as

The binomial distribution is used for discrete events and is

applicable if the probability of occurrence p of an event is

constant on each trial The mean of the distribution B ( M ) and

the standard deviation B(S) are given by

17.6.8.2 Poisson distribution

The Poisson distribution is used for discrete events and, like

the binomial distribution, it applies to mutually independent

events It is used in cases where p and q cannot both be

defined For example, one can state the number of goals which

were scored in a football match, but not the goals which were

not scored

The Poisson distribution may be considered to be the

limiting case of the binomial when n is large and p is small

The probability of an event occurring m successive times is given by the Poisson distribution as

c-"P

= ( n P ) " X (17.68) The mean P ( M ) and standard deviation P ( S ) of the Poisson distribution are given by

Poisson probability calculations can be done by the use of probability charts as shown in Figure 17.29 This shows the probability that an event will occur at least m times when the

mean (or expected) value np is known

17.6.8.3 Normal distribution

The normal distribution represents continuous events and is shown plotted in Figure 17.30 The x-axis gives the event and the y-axis the probability of the event occurring The curve shows that most of the events occur close to the mean value and this is usually the case in nature The equation of the normal curve is given by

Statistics 17/27 How many lamps will fail in the first 800 hours? from equation (17.72)

w = (800 - 1000)/100 = -2 Ignoring the negative sign, Table 17.1 gives the probability of lamps not failing as 0.977 so that the probability of failure is

1 - 0.977 or 0.023 Therefore 5000 x 0.023 or 115 lamps are expected to fail after 800 hours

where P is the mean of the values making up the curve and a is

their standard deviation

Different distributions will have varying mean and standard

deviations but if they are distributed normally then their

curves will all follow equation (17.71) These distributions can

ail be normalized to a standard form by moving the origin of

their normal curve to their mean value, shown as B in Figure

17.30 The deviation from the mean is now represented on a

new scale of units given by

and the area between any two values of w is the probability of

an item from the distribution falling between these values The

normal curve extends infinitely in either direction but 68.26%

of its values (area) fall hetween ?a 95.46% between 1 2 a ,

99.73% between 13a and 99.994% between +4a

Table 17.1 gives the area under the normal curve for

different values of w Since the normal curve is symmetrical

the area from + o to + m is the same as from -w to oo As

an example of the use of this table, suppose that 5000 street

lamps halve been installed in a city and that the lamps have a

mean life of 1000 hours with a standard deviation of 100 hours

"able 17.1 Area under the normal curve from 03 to w

0.516 0.556 0.595 0.633 0.670 0.705 0.739 0.770 0.800 0.826 0.851 0.873 0.893 0.910 0.925 0.938 0.950 0.959 0.967 0.974 0.979 0.984 0.988 0.990 0.993 0.995 0.996 0.997 0.998 0.998 0.999

0.524 0.564 0.603 0.640 0.677 0.712 0.745 0.776 0.805 0.832 0.855 0.877 0.896 0.913 0.928 0.931 0.952 0.961 0.969 0.975 0.980 0.985 0.988 0.991 0.993 0.995 0.996 0.997 0.998 0.998 0.999

0.532 0.571

0.610

0.648 0.684 0.719 0.752 0.782 0.811 0.837 0.860 0.881 0.900 0.916 0.931 0.943 0.954 0.963 0.970 0.976 0.981 0.985 0.989 0.991 0.993 0.995 0.996 0.997 0.998 0.999 0.999

As an example suppose that the time between failures of a piece of equipment is found to vary exponentially If results indicate that the mean time between failures is 1000 hours, then what is the probability that the equipment will work for

700 hours or more without a failure? Calculating K as 700/

1000 = 0.7 then from Table 17.2 the area beyond 0.7 is 0.497 which is the probability that the equipment will still be working after 700 hours

Y

X

Figure 17.31 The exponential curve

Table 17.2 Area under the exponeritiai curve from K to +=

0.961 0.869 0.787 0.712 0.644 0.583 0.517 0.477 0.43:

0.391

0.06 0.542 0.852 0.771 0.698 0.631 0.571 0.517 0.468 0.423 0.383

0.08 0.923 0.835 0.776 0.684 0.619 0.560 0.507 0.458 0.415 0.37s

Column 1 lists t h e Grdina! values of w or K and the corresponding values of area are presented in column 2 interpolarion between ordinal values can achieved steps of 0.02 by using remaining columns

The shape of the Weibull curve varies depending on the

value of its factors p i s the most important, as shown in Figure

17.32, and the Weibull curve varies from an exponential

( p = 1.0) to a normal distribution ( p = 3.5) In practice /3

varies from about f to 5 Because the Weibull distribution can

be made to fit a variety of different sets of data, it is popularly

used for probability distributions

Analytical calculations using the Weibull distribution are

cumbersome Usually predictions are made using Weibull

probability paper The data are plotted on this paper and the

probability predictions read from the graph

17.6.9 Sampling

A sample consists of a relatively small number of items drawn

from a much larger population This sample is analysed for

certain attributes and it is then assumed that these attributes

apply to the total population, within a certain tolerance of

error

Sampling is usually associated with the normal probability

distribution and, based on this distribution, the errors which

arise due to sampling can be estimated Suppose a sample of

n , items is taken from a population of n p items which are

distributed normally If the sample is found to have a mean of

p , with a standard deviation of us then the mean pp of the

population can be estimated to be within a certain tolerance of

p S It is given by

(17.76)

y is found from the normal curve depending on the level of

confidence we need in specifying pp For y = 1 this level is

68.26%; for y = 2 it is 95.46% and for y = 3 it is 99.73%

The standard error of mean (T, is often defined as

(17.77)

so equation (17.76) can be rewritten as

As an example suppose that a sample of 100 items, selected

at random from a much larger population, gives their mean weight as 20 kg with a standard deviation of 100 g The standard error of the mean is therefore 100/(100)”2 = 10 g

and one can say with 99.73% confidence that the mean value

of the population lies between 20 f 3 x 0.01 or 20.03 kg and 19.97 kg

If in a sample of n, items the probability of occurrence of a particular attribute is p s , then the standard error of probability

p e is defined as

(17.79) where q , = 1 - p ,

tion is then given by The probability of occurrence of the attribute in the popula-

where y is again chosen to cover a certain confidence level

As an example suppose a sample of 500 items shows that 50 are defective Then the probability of occurrence of the defect

in the sample is 50/500 = 0.1 The standard error of probabil- ity is (0.1 X 0.9/500)”* or 0.0134 Therefore we can state with 95.46% confidence that the population from which the sample was drawn has a defect probability of 0.1 f 2 X 0.0134, i.e 0.0732 to 0.1268; or we can state with 99.73% confidence that this value will lie between 0.1 k 3 X 0.0134 Le 0.0598 to 0.1402

If two samples have been taken from the same population and these give standard deviations of usl and usz for sample sizes of nsl and ns2 then equation (17.77) can be modified to give the standard error of the difference between means as

(17.81) Similarly equation (17.79) can be modified to give the stan- dard error of the difference between probabilities of two samples from the same population as

100 times and it comes up heads 60 times Is the coin biased or

is it likely that this falls within a reasonable sampling error? The hypothesis is set up that the coin is not biased Therefore one would expect that the probability of heads is 0.5, i.e

p s = 0.5 The probability of tails, q,, is also 0.5 Using equation (17.79) the standard error of probability is given by

p e = (0.5 X 0.5/100)”2 or 0.05 Therefore from equation (17.80) the population probability at the 95.45% confidence level of getting heads is 0.5 + 2 X 0.05 = 0.6 Therefore it is highly likely that the coin is not biased and the results are due

to sampling error

The results of any significance test are not conclusive For

example., is 95.45% too high a confidence level to require?

The higher the confidence level the greater the risk of

rejecting a true hypothesis, and the lower the level the greater

the risk of accepting a false hypothesis

Suppose now that a sample of 100 items of production shows

that five are defective A second sample of 100 items its taken

from the same production a few months later and gives two

defectives Does this show that the production quality is

improving? Using equation (17.82) the standard error of the

difference between probabilities is given by (0.5 x 0.951

100 + 0.02 x Q.98/100)1’2 = 0.0259 This is less than twice

the difference between the two probabilities, Le 0.05 -

0.02 = 0.03, therefore the difference is very likely to have

arisen due to sampling error and it does not necessarily

indicate an improvement in quality

I7.6.IO.i’ Chi-square teSt

This is written as x’ If 0 is an observed result and E is the

expected result then

(17.83) The x2 distribution is given by tables such as Table 17.3, from

which th,e probability can be determined The number of

degrees of freedom is the number of classes whose frequency

can be assigned independently If the data are presented in the

Eorm of a table having V vertical columns and H horizontal

rows then the degrees of freedom are usually found as

Returning to the earlier example, suppose a coin is tossed

100 times and it comes up heads 60 times and tails 40 times Is

ihe coin biased? The expected values for heads and tails are 50

The number of degrees of freedom is one since once we have

fixed the frequency for heads that for tails is defined There-

Table 17.3 The chi-square distribution

(= 2.5%), i.e there is a strong probability that the difference

in the two results arose by chance and the coin is not biased

As a further example suppose that over a 24-hour period the average number of accidents which occur in a factory is seen to

be as in Table 17.4 Does this indicate that most of the accidents occur during the late night and early morning periods? Applying the x’ tests, the expected value, (if there was no difference between the time periods) would be the mean of the number of accidents, i.e 5 Therefore from equation (17.83)

6, 18 respectively, then x 2 would be calculated as 20.67 and from Table 17.3 it is seen that the results are highly significant since there is a very low probability, less than 0.5% that it can arise by chance

~ (9 - 5)? (3 - 5)Z (2 - 5)’ (6 - 5 ) 2

17.6.10.3 Significance of correlation

The significance of the product moment correlation coefficient

of equations (17.53) or (17.54) can be tested at any confidence level by means of the standard error of estimation given by equation (17.55) An alternative method is to use the Student t

test of significance This is given by

r(n - 2)”’

(1 - ,.)I/

where r is the correlation coefficient and n the number of

items Tables are then used, similar to Table 17.3, which give

the probability level for ( n - 2) degrees of freedom

The Student t for the rank correlation coefficient is given by

Eauations and Boundarv V a h e s , 4th edn, Wiley Chichester

Boyce, W E and DiPrima R C., Elementary Differential

(1986) Books, London (1982) Caplen, R H., A Practical Approach to Qualify Control, Business Chalk, G 0 and Stick A W., Sturisfics for the Engineer,

17/30 Engineering mathematics

Cohen, S S., Practical Statistics, Edward Arnold (1988)

David, H A , , Order Statistics, Wiley, Chichester (1981)

D u m , R A and Ramsing K D., Management Science a

Practical Approach to Decision Making, Macmillan, London

(1981)

New York (1982)

McGraw-Hill, New York (1980)

(1979)

Fitzsimmons J A , Service Operations Management, McGraw-Hill,

Grant, E L and Leavenworth, R S., Statrstical Quality Control,

Hahn, W C., Modern Statistical Methods Butterworths, London

Jones, M E M., Statistics Schofield & Sims (1988)

Kreyszig, E., Advanced Engineering Mathematics, 5th edn Wiley,

Livesley R K , Finite Elements: an Introduction f o r Engineers,

Lyons, S , Handbook of Industrial Mathematics, Cambridge

Mazda, F F., Quantitative Techniques in Business, Gee & Co Pudewicz E J., and Mishra S N., Modern Mathematical

Siegel, A F., Statistics and Data Analysis, Wiley (1988)

Chichester (1983) Cambridge University Press, Cambridge (1983) University Press, Cambridge (1978)

(1979)

Statistics, Wiley (1988)

18 Health and safety

1

I

Health and safety in the European Community 4 with more than 100 employees there is a requirement to report annually on these conditions Works councils must be set up to oversee and promote health and safety For companies with more than 500 employees safety departments have to be organized and staffed by specialist personnel The legislation

is enforced by an inspectorate employed by the Labour Ministry

The regulations governing health and safety are surveyed in

this chapter Obviously, these regulations differ from country

to country, but a general trend towards harmonization of

European legislation through the European Community is

bound to lead to more common legislation worldwide

A brief section dealing with the legislation and administra-

tion of health and safety law in several countries follows As a

country with highly developed legislation and regulation, the

UK has been chosen for the subsequent more detailed examin-

ation This gives an illustration of various themes that run

through the health and safety regulations of any country The

UX also has a system that is fairly similar to those of most

European countries

Corn m 11 nity

The legislation and administrative organization of the Euro-

pean Cornmunity with respect to health and safety varies

widely At one extreme are countries like the UK and

Denmark, who have highly developed legislation and, at the

other, is Portugal, with no specific regulations

18.1.1 Denmark

Health and safety in Denmark is controlled by the Health and

Safety at Work Act 1985 Specific regulations are made under

this enabling Act and are enforced by an inspectorate under

the Minisler of Labour Safety committees have to be formed

by companies with more than 20 employees

Health anid safety is controlled in Belgium by File 2 of the

General Regulations, for the protection of employment

These detail requirements including use of machinery, hand-

ling of axiterials, fire risks, hygiene of premises, temperature

and sanitation Safety officers have to be appointed by compa-

nies Safety committees are necessary in companies employing

more than1 50 people There is no government inspectorate but

routine inspections are carried out by authorized private firms

18.1.3 France

Labour codes control health and safety practices in France

Under labour code 236 companies employing more than 50

people are required to form safety committees:

Code 232-1 requires workplaces to be hygienic

Code 233-1 protects workers against falls collisions and

suffocation

Codes 231-6 and 231-7 list dangerous substances and control

labelling and carrying instructions

18.1.4 The ~ e ~ ~ e r ~ a n d §

Health and safety is controlled in the Netherland by the

Working Conditions Act 1980 This Act, which was intro-

duced in phases, requires employers to promote health and

safety lo employees Employers are obliged to reveal to

workers all information concerning risks to health and are

required to assign tasks according to workers’ physical and

mental capacities

There is an overriding obligation to organize activities to

ensure the best possible working conditions and for companies

18.1.5 Portugal

There is no formal legislation controlling health and safety in Portugal Draft documents exist and these have been the subject of discussion since 1990 The regulations that do apply

to factories are enforced by the Geneal Inspectorate of Labour The Director General of Occupational Safety and Health advises on standards and carries out research

18.1.6 Spain

Spanish codes of practice enforced by the labour inspectorate form the basis of legislative control Firms employing more than 100 employees have to form health and safety commit- tees Staff representatives have a role to play in health and safety enforcement If three-quarters of the safety representa- tives decide that there is a grave risk of an accident they are entitled to stop work at the premises A ruling from the labour inspectorate is then made within 24 hours Fines for breaches

of regulations vary between de165 and de1650

18.1.7 Germany

In Germany the Safety at Work Act 1973 controls health and safety Inspection of premises is again entrusted to private authorized firms (for example, the Accident Prevention Tn- stitute) Employees have a duty to support these inspection agencies and companies must appoint a specialist safety officer

if they have more than 20 employees

18.1.9 Irish Republic

Health and safety in the Irish Republic is controlled by the Health Safety and Welfare at Work Act 1989 This statute requires firms that employ more than 10 staff to produce a safety statement If the statement reveals unsatisfactory situa- tions the firms are obliged to deal with them An inspectorate

is employed which can inspect and require changes to be made

to safety statements and, consequently, changes to work practices

18.1.10 Italy

Under Article 2087 of the Civil Code companies in Itaiy are responsible for employees’ physical and mental wellbeing

Article 41 deals with safety, freedom and human dignity in

employment Under Article 9 of the workers’ statute workers have a collective right to verify measures to protect staff and prevent accidents and work-related diseases Local health authorities can monitor situations with respect to space, light, cleanliness toilet provision, protective clothing, etc Regula- tions exist which control the employment of pregnant women

18/4 Health and safety

18.2 Health and safety at work-law and

administration in the USA

In the USA health and safety standards are set by the

Occupational Safety and Health Administration (OSHA)

During 1991 OSHA conducted 82 484 State and 42 113

Federal inspections and maximum penalties for breaches of

legislation were increased by sevenfold during that year A

system of penalties for breaches of legislation is enacted by

OSHA

During 1991 a total of $9.7 million in federal penalties and

$32.6 million in state penalties were imposed Recently,

OSHA introduced two new and three proposed standards

The new standards related to the construction industry and

detailed safe practices in the use of the ‘lift slab‘ construction

method and one on the use of ladders and stairways in

construction The proposed new standards included:

1

2 Indoor air quality

3 Cadmium

A new limit value for formaldehyde

Health and safety at work in the UK is controlled by a large

number of Statutory Instruments of varying importance and it

is necessary to appreciate their individual significance and

relationship to others

The principal way that statute law is implemented is by Act

of Parliament The statute first passes through the House of

Commons, after initial drafting and consultation phases, and

then to the House of Lords It passes again through the

Commons where any amendments are considered It will

finally receive the Royal Seal of Approval and become an Act

of Parliament

Regulations may be made by persons (usually Ministers)

authorized in Acts of Parliament (for instance, by Section 15

of The Health and Safety at Work etc Act 1974) These

Regulations do not pass through Parliament in the same way

as an Act (although Parliament does maintain overall control)

Regulations carry the same force of law as Acts of Parliament

Approved Codes of Practice are also commonly employed

in health and safety matters These do not carry the same

authority as Acts or Regulations but rather serve to amplify

and add detail to requirements imposed by Acts or Regula-

tions Non-compliance with approved Codes of Practice is not

(in itself) an offence, but is likely to result in an offence being

committed under the enabling Act (or Regulations)

Guidance notes are also issued These are of a technical

nature and serve to give examples of good practice that will

enable compliance with statutes Again, non-compliance with

a guidance note is not, in itself, an offence

18.4 The Health and Safety at Work etc

Act 1974

This Act is intended to secure the health, safety and welfare of

persons at work In addition, the Act also protects persons

(other than those at work) against risks to health and safety

arising out of or in connection with the activities of persons at

work The Act also controls the keeping and use of explosives

or highly flammable or otherwise dangerous substances and

the emission into the atmosphere of noxious or offensive

substances

18.4.1 Duties of employers

Section 2 of the Act applies to employers and imposes a general duty to ensure the health, safety and welfare of all employees This includes the provision and maintenance of safe plant, arrangements for handling and storage and tran- sport of substances in a safe manner The provision of instruction, information and training is also a requirement The work premises are required to be safe and without risks

to health, including safe means of access and egress The working environment shall similarly be safe and without risks

to health, and adequate in facilities and arrangements for welfare at work All these actions are required to be taken ‘as far as is reasonably practicable’ - an expression that involves both technical feasibility as well as an element of financial practicality

Section 2 also requires the writing of safety policies (except

as may be prescribed) which, currently, have to be prepared for companies with five or more employees Statements must

be reviewed at regular intervals and brought to the attention

of employees

18.4.2 Duties to others

Section 3 of the Act requires employers and the self-employed

to take steps to protect persons not in their employment from work-related activities In addition, this section requires employers and the self-employed (in prescribed cir- cumstances) to provide certain information to persons who may be affected by their work activities concerning the way in which those work activities may affect those persons’ health or safety In addition, the self-employed have a duty of self-care concerning risks to their own health and safety

18.4.3 Duties to non-employees on works premises

Persons having a control of premises (not including domestic) where persons (not being their employees) work or use plant

or substances provided for their use have a duty of care to persons on their premises

18.4.5 Duties of employees

Employees (while at work) have a duty to take reasonable care of the health and safety of themselves and other persons who may be affected by their acts and omissions In addition, they must cooperate with employers or other persons who have duties under this Act to ensure that that duty is per- formed or complied with

18.4.6 Implementation of the Act

The Health and Safety Commission is the body that generates policies concerning health and safety It consists of represen- tatives from employers’ and employees’ organizations and is chaired by a person appointed by the Secretary of State In addition, there may be representatives from Local Authority organizations and other professional bodies

Control of Substances Hazardous to Health Regulations 1988 48/5

18.7 Enforcement Notices

Enforcement of the Act falls to two Authorities (depending

upon the nature of the use of the premises); the Health and

Safety Executive and Local Authorities

The Health and Safety Executive has a dual role One function

is to generate guidance on aspects of health and safety,

including guidance notes and liaison documents for Local

Authorilies The second function is that of enforcement

agency Classes of premises are divided between the Health

and Safety Executive and Local Authorities by the Allocation

Regulations Broadly, these Regulations allocate non-

industrial premises (e.g offices, warehouses, shops, places of

entertainment) to Local Authorities and the rest falls to the

Health and Safety Executive Where more than one use takes

place within one curtilage (for example, a cardboard carton-

manufacturing factory which is within a large warehouse and

only supplies that warehouse) several tests are applied con-

cerning which use predominates If the ‘factory’ use predo-

minztes, the Health and Safety Executive enforce, if the

non-industrial use predominates, the Local Authority will

enforce Thus, for instance, a food warehouse with the

cardboaird carton-manufacturing plant used only for the pur-

pose of boxing the food stored within the warehouse would be

enforced by the Local Authority, whereas a large cardboard

carton manufacturer who supplied other outlets and had a

warehouse only to store its own cardboard boxes would be

enforced by the Health and Safety Executive

The test here is the prime purpose of the user If the

purpose is to manufacture and sell boxes the user is a factory

(notwithstanding the fact that the warehouse may occupy a

larger floor area than the box-manufacturing plant) The

Health ,and Safety Executive is sub-divided into classes of

inspectorate, as follows:

HM Factory Inspectorate

HM Agricultural Inspectorate

HM Explosives Inspectorate

HM Mines and Quarries Inspectorate

HM Nuclear Installations Inspectorate

The Health and Safety Executive operates from area offices

located around the country, and, in addition, specialist offices

are located in certain cities which deal with just one or two

specialized industries (which may be prevalent in that particu-

lar area)

18.6 Local Authorities

Local Authorities appoint authorized officers to carry out

their furictions under The Health and Safety at Work etc Act

and these are usually Environmental Health Officers Local

Authority officers have exactly the same powers as the Health

and Safety Executive enforcement officers and possess the

same degree of expertise As can be seen from the examples of

allocations given above, the types of premises visited by Local

Authorities may be essentially the same as those visited by the

Health and Safety Executive If, for instance, a large ware-

house operation has an ancillary factory employing, say, one

hundred operatives, the Local Authority would be responsible

for enforcement, whereas the Health and Safety Executive

would Ibe responsible for a much smaller factory if the

manufacturing use predominates

Breaches of the Health and Safety at Work etc Act or its Regulations can be dealt with in one of three ways:

18.7.2 Prohibition Notice

If the activities being carried out will invoive a risk of serious personal injury the inspector may serve a Prohibition Notice This may take immediate effect if the inspector feels that the risk of serious personal injury is imminent or may be deferred

to a later date, if this is not the case

18.8 Control of Substances Hazardous to Health Regulations 1988

These Regulations (of which the majority came into force on 1 October 1989) lay down essentia! requirements for the control

of hazardous substances and to protect persons exposed to them, and apply to the following:

1 Those substances that have been classified as being very toxic, toxic, harmful, corrosive or irritant under The Classification, Packaging and Labelling of Dangerous Substances Regulations 1984;

Those substances which have maximum exposure limits or occupational exposure standards (i.e listed in HSE docu- ment EH/40);

3 Substances that have chronic or delayed effects, i.e carcinogenic, mutagenic or teratogenic

A substance should be regarded as hazardous to health if it is hazardous in the form in which it occurs in the work activity, whether or not its mode of action has been identified

2

Health and safety

A substance hazardous to health is not just a single chemical

compound but also includes mixtures of compounds, micro-

oganisms, allergens, etc When considering whether a

substance is likely to be hazardous to health the following

points are likely to be taken into account:

1 The form of the substance, i.e particle size - respirable

dust may be more hazardous than solid;

2 Impurities - contaminants in innocuous materials may

render that material hazardous;

3 Fibres - fibrous form may be more hazardous;

4 Synergistic effects of more than one substance;

5 Microorganisms may arise from the work directly or

indirectly (e.g legionella - the causative organism of

Legionnaires' disease which may be present in wet cooling

towers)

18.8.1 Duties under the Regulations

The Regulations require employers to take steps to assess the

risk to health arising from work with these hazardous

substances and to decide on the precautions that are necess-

ary The employer then has to take the appropriate measures

to prevent or control the risk (where it is not reasonably

practicable to prevent it) and must then ensure that these

control measures are used and that equipment is properly

maintained and procedures observed

Monitoring the health of workers is necessary in certain

circumstances Finally, instruction, training and the dissemi-

nation of information concerning the risks of working with the

substances and the precautions to be taken are a requirement

of the Act

18.8.2 The assessment

The duty to carry out the assessment is placed on the

employer, and it is acknowledged that the employer is likely to

seek the services of an outside consultant (and this is most

certainly the recommended course of action) However, the

responsibility to make the actual assessment rests with the

employer and cannot be delegated as such

The Regulations require that after 1 January 1990 no work

which is liable to expose anyone to substances hazardous to

health shall be carried on unless an assessment has been made

which need only relate to that part of the work liable to expose

people to hazardous substances If the conclusion is drawn

that (while the substances covered are being used) there is no

potential for exposure then no further assessment is needed

The main poinrs of the assessment are as follows:

Decide what precautions are necessary

Decide on the review period (Review will also be necess-

ary when there are any changes in the working practices or

the substances used.)

18.8.3 Control measures

The Regulations require the prevention of exposure to the

substance but acknowledge that this may not be reasonably

practicable In these cases the substance should be adequately

controlled The requirement is for adequate control, so far as

is reasonably practicable, by means other than the provision of

personal protective equipment This means that engineering

solutions, local exhaust ventilation etc should be the first

considerations If adequate control is not possible by these

means then personal protective equipment should be used in

addition to engineering solutions so that adequate control of the substance can be obtained

Asbestos means any of the following minerals: crocidolite, amosite, chrysotile, fibrous actinolite, fibrous anthophyllite, fibrous tremolite and any mixture containing any of these minerals There are various parts of legislation concerning the use, manufacture and removal of asbestos (or materials con- taining it) and reference must be made to these statutes prior

or varnish containing asbestos

The Control of Asbestos at Work Regulations 1987 cover all work with asbestos

The use of lead at work is controlled by The Control of Lead

at Work Regulations 1980 An approved Code of Practice has been issued entitled Approved Code of Practice - Lead at Work (revised June 1985) The Regulations apply to work from which lead arises:

1 In the form of lead dust, fume or vapour which is liable to

a process given in the guidance notes is the handling of finished articles containing lead (e.g pottery)

The extent to which the Regulations apply to a particular work activity is controlled by the probable nature and degree

of exposure to lead and reference levels are set in the Regulations A standard (known as the lead-in-air standard) is set at the following figures:

Lead (except for tetra-ethyl lead) (as Pb) 0.15 mg/m3 of air Tetra-ethyl lead (as Pb) 0.10 mg/m3 of air These limits are for 8-hour time-weighted average concentra- tions The Regulations do allow some deviation from these standards as it is acknowledged that the absorption of lead is controlled by numerous factors including composition, solubil- ity, particle size and period of exposure

The 8-hour time-weighted average concentration does not exceed three times the above figures

The 40-hour time-weighted average does not exceed 0.15 mg/ m3 of air, if there is sufficient information available from biological test results to indicate that the degree of lead absorption is at an acceptable level

The degree of variance allowed is as follows:

The Electricity at Work Regulations 1989 1817

The Regulations use the expression ‘significant exposure’ to

apply or tiisapply certain Regulations This is defined as:

1 An exposure of at least half the lead-in-air standard;

2 Where there is a significant risk of ingesting lead;

3 Where there is a risk of skin contact with concentrated

lead alkyls

Where biological monitoring is carried out as part of an

assessment if the blood levels are greater than 40 pg per

100 ml or, in the case of workers exposed to lead alkyls, a

urinary lead level of greater than 120 pgh, the worker should

be regarded as being significantly exposed to lead

In the icase of intermittent exposure (e.g a few hours per

week) if the lead-in-air standard is not exceeded and the

weekly (i.e 40-hour) average does not exceed one half of the

%hour standard the exposure is not classed as significant The

main requirements of the Regulations are as follows:

Regulation 4 - where persons are exposed to lead the

employer shall make an assessment

Rrgulatioji 5 - employers shall ensure adequate information

instruction and training of their employees

Regulation 6 - employers shall control the exposure of their

employees to lead as far as is reasonably practicable otherwise

than by the use of respiratory protective equipment Control

measures are considered adequate when they effectively con-

trol the exposure of employees to:

1 Lead-in-air concentrations not exceeding the lead-in-air

standard;

2 Lead which can be ingested;

3 Lead which can be absorbed through the skin

Regulation 7 - where it is not possible to control lead to the

above standards the employer shall provide any employee

liable to be exposed to airborne lead with respiratory protect-

ive equipment

Regulatio,v 8 - the employer shall provide protective clothing

unless the exposure to lead is not ‘significant’ (see previous

definition)

Regulation 9 - washing changing and clothes storage facilities

must be provided

Regulatio.n 10 - employers shall ensure that employees do not

eat, drink: or smoke in contaminated areas and that suitable

areas are set aside for these activities

Regulafio,n 11 - the employer shall ensure the cleanliness of

the workplace, etc

Regulation 12 - the employer has a duty to ensure that

contamin,ation does not spread from the workplace so as to

avoid exposure to persons not engaged in work with lead (e.g

the families of the lead workers)

Regulation 13 - controi measures If control measures (e.g

ventilation, respiratory protection etc.) are necessary the

employer shall ensure that they are properly used The

employer also has a duty under this section to properly use

such facilities and to report any defects in such equipment, etc

Regulation I4 - requires that employers shall adequately

maintain control measures

Regulation 15 - requires air monitoring to be carried out

unless the exposure is not significant

Regulation 56 - requires medical surveillance to be carried out

if the exposure to lead is significant or if the Employment

Medical Advisory Service-appointed1 doctor certifies that the

employee should be under surveillance The EMAS doctor

can also require that an employer ceases to expose an

employee to lead by way of a certificate that may also allow for

some partial exposure (under specified circumstances)

Regulation 17 - requires the keeping of records of the assess-

ments, maintenance, air tests and medical surveillance as

required by previous Regulations

1989

The Electricity at Work Regulations came into force on 1 April 1990 These require precautions to be taken against the risk of death or personal injury from electricity in work activities The Regulations apply to all electrical systems and equipment whenever manufactured, purchased or installed even if the use, etc predates the Regulations

18.11.1 The relationship to IEE Regulations

The Institution of Electrical Engineers Regulztions are non- statutory Regulations and relate principally to the design, selection, erection, inspection and testing of elecirical installa- tions (whether permanent or temporary) in or about buildings generally and to agricultural and horticultural buildings, cons- truction sites and caravans and their sites, There are thus many situations to which the IEE Regulations do not apply In particular, they do not relate to systems operating at 1000 V a.c or more Compliance with IEE Regulations will mean that

it is highly likely that a system will comply with The Electricity

at Work Regulations

18.11.2 The Regulations - definitions

The term ‘system’ is used to describe an electrical installation and is defined as including all the constituent parts of the system (e.g conductors and electrical equipment) and is not a reference solely to the functional circuit as a whole Where circuits are connected by inductance (e.g in the windings of a transformer) Even if the circuits are galvanically separated, the two circuits are to be regarded as one system

Some ‘systems’ may thus extend over a large geographical area if the circuits are connected in any way Several persons may thus have control over one system The Regulations require control over the system only insofar as they have control over the premises

Electrical equipment is defined as every type of electrical equipment from a battery-powered torch up to a 400 kV overhead line The Regulations apply where ‘danger’ may arise Explosion risks are considered relevant Thus low- voltage applicances (which present no danger of shock) may give rise to sparks which may present a danger

Conductors mean any material capable of conducting elec- tricity and include metals and other materials The definition covers materials and structures not specifically designed for the transmission of electricity and may include, for example, salt water and ionized gases

Circuit conductors are conductors whose noma1 function is

to carry load currents or to be energized

Danger is defined as the risk of injury

Injury is defined as death or personal injury from electric shock, electric burn, electrical explosion or arcing or from fire

or explosion initiated by electrical energy, where any such death or injury is associated with the generation provision, transmission, tranformation, rectification, conversion, con- duction, distribution, control storage, measurement or use of electrical energy The Regulations require that operatives prevent danger in some circumstances and prevent injury in others This distinction is important In some operations it is impossible to prevent danger (i.e the risk of injury) but it is possible to prevent injury Injury means death or injury caused by: electric shock, electric burn, fires of electrrcal origin, electric arcing and explosions initiated or caused by electricity

18/8 Health and safety

Live - means that the conductor is at a voltage produced by

a source of electricity

Charged - means that the item has acquired a charge either

because it is live or because is has become charged by static or

induction charging

18.11.3 The Regulations - requirements

The Regulations apply to employers and employees (including

the self-employed) All systems shall be constructed so as to

prevent danger (as far as is reasonably practicable) Every

work activity should be carried out so as to avoid danger

(again as far as is reasonably practicable)

The Regulations control both the way in which maintenance

is carried out and the need for regular maintenance The

overriding preference for work on electrical systems is that

they are made dead before work starts Safe systems of work

are considered most important in this case (particularly to

avoid the system becoming inadvertently energized) The

Regulations recognize that, under certain circumstances, it

may not be possible to isolate circuits and particular require-

ments are made in terms of protective equipment which may

need to be provided The strength and capability of electrical

systems is considered Systems should take into account

possible transient situations as well as normal conditions

Systems should be capable of operating without causing

danger

Adverse or hazardous environments are considered and it is

a requirement that systems take account of mechanical dam-

age weather wet, dirty or corrosive conditions as well as the

presence of any flammable or explosive substances The

requirement again is to avoid danger

Insulation is required to conductors which may give rise to

danger or an alternative is permitted in that conductors may

be made safe by position (this may also need the back-up of

strictly controlled working practices) Earthing is required

when conductors (other than circuit conductors) may become

charged so as to cause danger Alternative means of prevent-

ing this danger are also permitted (for instance, double

insulation)

No device shall be placed in a reference conductor which is

designed to connect to earth that might reasonably be ex-

pected to interrupt that conductor in such a way as may result

in danger Connections shall be mechanically and electrically

suitable for use so as to prevent danger Means for protecting

from excess of current in any circuit are also to be provided

Where necessary to prevent danger, a means of cutting off

the supply and for isolation shall be supplied Adequate

precautions shall be taken to prevent equipment which has

been made dead for the purposes of carrying out works from

becoming electrically charged during work if danger may

arise

Work on or near live conductors, if liable to cause danger, is

prohibited unless it is unreasonable in all the circumstances for

it to be dead and it is reasonable in all the circumstances for

the worker to be at work on or near it while it is live and

suitable precautions (including, where necessary, the provision

of suitable protective equipment) are taken to prevent injury

Working space, access and lighting are considered and the

Regulations require that adequate means of access and lighting

and adequate working space be provided when work is being

carried out in circumstances which may give rise to danger

Regulation 17 of the Electricity (Factories Act) Special Regu-

lations 1908 and 1944 gives dimensions for minimum passage-

ways near switchboards, etc and these are used as guidance for

situations where circuit voltages do not exceed 3000 V

Competent persons The Regulations require that all persons who work in any activity where technical knowledge or experience is necessary to prevent danger (or injury) are trained so as to possess that knowledge or experience unless under such a degree of supervision as appropriate considering the nature of the work

Exemption certificates It is possible to obtain exemption from any of the Regulations by writing to the Health and Safety Executive These exemptions will not be granted unless the HSE are satisfied that the health and safety of persons who are likely to be affected will not be prejudiced in consequence

of it The HSE may impose conditions or other requirements when granting exemption certificates The HSE is also given the power to issue general exemptions or special exemptions This power is written in to take account of unforeseen circumstances (as at the time of drafting) and is unlikely to be used in practice

These Regulations came into force on 1 January 1990 and control the exposure to noise of persons at work They establish three noise levels, known as the first action level, the second action level and the peak action level Different regulations are applicable as each action level is exceeded The unit of measurement is known as the equivalent con- tinuous sound level and may be defined as ‘that notional continuous steady level which would have the same weighted acoustic energy as the real fluctuating noise measured over the same period of time’ For the purposes of the Regulations an 8-hour time period is used and the 8-hour equivalent conti-

nuous sound level is abbreviated to LEP,d

The first action level is 85 dB(A) LEP,d

The second action level is 90 dB(A) LEP,d

The peak action level is 200 Pascals (equivalent to 140 dB) Damage to the hair cells in the inner ear is proportional to the noise energy received This is a dose concept comprising the product of noise level and exposure duration It follows, therefore, that the same amount of deafness will follow from the exposure to a very intense sound for a short period as to a lower level for a proportionally longer one

It has been shown that the exposure time must be halved for each 3 dB(A) increase in the noise levels 3 dB(A) represents

a doubling of sound energy, hence this rule has become known

as the equal energy damage risk criterion It follows that

93 dB(A) for 4 hours is also 100% of the permitted exposure for a day Similarly, 2 hours at 93 dB(a) would be 50% of the permitted exposure Where an employee is likely to be exposed to above the first action level the employer shall ensure that a competent person makes an assessment of the noise levels which is adequate for the purposes:

1

2

Of identifying which employees are so exposed; and

Of providing the employer with such information with regard to the noise to which those employees may be exposed as will facilitate compliance with the employer’s duties under the Regulations, specifically:

(a) Reduction of noise exposure:

(b) Ear protection;

(c) Ear protection zones;

(d) Provision of information to employees

18.12.1 The requirements of the Regulations

Review the assessment if changes necessitate this

Record the exposure and keep records

Reduce the risk of damage to hearing to the lowest level

that is reasonably practicable

Every employer shall, when any employee is likely to be

exposed to the second action level or above or to the peak

action level or above, reduce, so far as is reasonably

practicable (other than by the provision of personal ear

protectors) the exposure to noise of that employee

If an employee is exposed to greater than the first action

level and less than the second action level the employer

shall provide hearing protection if so required by the

employee

If an employee is exposed to greater than the second

action level or greater than the peak action level the

employer shall provide hearing protection which, when

properly worn, will reduce the risk of hearing damage to

below that arising from exposure to the second action

Leve’l or, as ?he case may be, to the peak action level

Ear protection zones (i.e areas where the second action

levei is likely to be exceeded) shall be established

Employees must wear ear protection in this zone The

employer shall erect suitable signs

Information, instruction and training shall be provided for

employees where exposure is likely to exceed the first

action level or the peak action level This information

shall include:

18.1

~8.13.1

The risk of damage to am employee’s hearing that

such exposure may cause;

What steps an employee can take to minimize that

risk;

The steps that an employee must take in order to

obtain the personal ear protectors which the

employer must provide;

The employer’s obligation under the Regulations

Safety of machinery

Identification of hazard

it is first essential to consider all of the phases of a machine’s

life (i.e construction through to dismantling) These will

The hazard at each point of this list must be assessed It may

be that the most hazardous point will vary with the nature of

the operation (Le tool setting may be more hazardous than

actually operating the machine if the operation is carried out

remotely)

18.13.3 Assessment

Two factors are normally considered, when carrying out risk assessment; the probability of injury and severity of injury produced In assessing probability of injury the following points should be considered:

1

2

An assessment of the two factors can lead to a measure of the proportion of these dangerous accesses likely to result in injury

The nature of any likely injuries may be used when deciding

on the degree of protection necessary Clearly, an event capable of causing death requires the most stringent safety precautions, while a dangerous machine capable of, say, causing minor bruising might not warrant the same expendi- ture

The overall risk is derived from consideration of the likeli- hood of injury and the probable outcome over all the phases of the machine’s life

Frequency of access needed to danger areas;

What actions are likely when in danger areas

18.13.4 Safety by design

Where possible, designers should ensure that new machines

do not contain dangerous parts or that these are enclosed by the design of the machine This is a much more desirable alternative to the fitting of guards to an established machine design Designers should also pay serious attention to ergono- mics It is important particularly to avoid operator fatigue as much as possible

The design of safeguards to prevent physical injury can also

be used as an opportunity to protect the operator from other hazards - for instance, noise, heat, etc Examples of typical construction details to reduce the risk of injury may include:

1 Avoidance of shear traps by filling gaps between static and moving parts of machines such that gaps are eliminated or reduced to such an extent that parts of the body cannot enter Data are available which give information concern- ing dimensions suitable for the avoidance of trapping various parts of the ‘typical’ body An alternative would

be to widen a gap sufficiently to prevent body parts being trapped

Drawing-in - consideration of surface roughness, in- running nips, speed or distance of movement, force, torque and inertia

A consideration of all of the typical hazards to the body should

be made and the design of the machine should be such as to eliminate them as far as is reasonably practicable

If it is not possible to make the machine safe by design other considerations will have to be taken into account, concerning controls, proximity devices and guards While on the subject

of design, other factors to be considered should include:

1 Design of controls to avoid unexpected start-up and/or movement in unexpected directions;

2 Elimination of hazards due to failure of machinery (e.g

2

18/10 Health and safely

falls of platerns due to hydraulic failure - trapping may be

avoided by the use of scotches (props) which are only

removed mechanically when guards are closed) ;

3 Stability - design such that stability is not prejudiced by,

for instance overloading material feed hoppers;

4 Lighting - one of several environmental considerations

which are pertinent to risk elimination

18.13.5 Guarding

If safety by design is not possible the next alternative must be

guarding Within this generic expression we may also include

electrical and mechanical interlocking, proximity devices and

two-hand switching, etc There are two main classes of hazard-

ous machinery to be considered:

1 Those involving hazardous parts to which access is not

required during normal operation Access may be needed

during maintenance and some form of ‘inching’ device

may be fitted;

2 Those machines to which access is required during normal

operations

The guards for the first type could include the following:

Fixed enclosed guard;

Fixed distance guard (barrier or tunnel of sufficient size/

length to prevent parts of body from reaching danger

area), interlocked guards;

Trip device (e.g photoelectric cells, pressure mats, etc.)

In the case of machines to which access is normally required,

different types of guards may be necessary, and these would

Trip device (photocells, etc.);

Adjustable guards - a poor option, but may be necessary

in certain cases where the gap between guard and danger

point cannot be completely eliminated (e.g woodworking

machines - these guards tend to be left in the widest gap

position) ;

Self-adjusting guards - the gap is adjusted by the work-

piece itself, thereby reducing the risks of the adjustable

guards;

Two-hand control devices -the operator has to operate

two on-switches which are situated to prevent spanning by

one hand The switches must be operated within 0.5

seconds of each other This device will only protect one

operator and is open to abuse if two persons use the

machine;

Hold-to run control - the control is placed out of the

danger area and the operative must remain in contact with

the switch all the time the machine is operating

18.13.5.1 Installation and practical considerations of guards

Hygiene Guards for use on food machines should be readily

cleansable and completely removable from machines - hinged

guards are difficult to clean Removable guards should be

adequately interlocked If fixed guards are necessary they

should be mounted on spacers away from the machine in order

to permit cleaning, but gaps should not be sufficient to permit

parts of the body to reach danger areas

Corrosion The materials used should be suitable for any

corrosive risk from the environment or cleaning materials

used Stainless steel is the most suitable for the food industry

Visibility The guard should be designed, if necessary so that the operative can see the moving parts of the machinery The use of clear sheet, mesh or grills can be considered

Strength and durability The materials used should be suitable

for the use (or abuse!) to which the guard may be put

Maintenance Guards should be subject to routine inspection Routine replacement of moving parts should take place after the end of their design life, particular attention being given to interlock switches, hydraulic valves, etc Testing of safeguards must be carried out only by properly trained personnel

Operation wirhout guards There are some circumstances in which machinery must be operated without guards (so as to lubricate, maintain or adjust) It is permissible to carry out these operations However, they are controlled by The Facto- ries Act 1961, Section 15 (where applicable), and operatives must he properly trained and operations must be specified in writing Any other operations of machinery without guards is likely to result in a breach of The Health and Safety at Work

etc Act, which could result in the employee and/or the

employer being prosecuted as well as the risk of injury

Personal protective equipment (PPE) can be defined as:

all equipment designed to be worn or held by a person at work to protect him against one or more risks, and any addition or accessory designed to meet this objective, other than

(a) ordinary working clothes and uniforms not specifically designed to protect the health and safety of the wearer;

(b) personal protective equipment used for protection while travelling on a road within the meaning (in England and Wales) of section 192 (10 of The Road

Traffic Act 1988, or (in ScotlaEd) section 151 of The Roads (Scotland) Act 1984;

(c) equipment used during the playing of competitive sports;

(d) self defence or deterrent equipment;

(e) portable devices for detecting and signalling risks and nuisances

‘Risk’ means any risk to the health and safety of a person and includes wet or extreme temperature caused by adverse weather or otherwise This definition is taken from a draft set

of regulations published by the Health and Safety Commis- sion The regulations are intended to implement the require-

ments of The Health and Safety E C framework directive (which must be implemented by 31 December 1992)

18.14.1 Existing PPE legislation

Section 2, Health and Safety at Work etc Act 1974 Construction (Head Protection) Regulations 1989 Control of Asbestos at Work Regulations 1987 Control of Lead at Work Regulations 1980 Control of Substances Hazardous to Health Regulations 1988 Ionizing Radiation Regulations 1985

Noise at Work Regulations 1989

Also various pre-Health and Safety at Work etc Act Regula-

tions

properly used In addition, there is a requirement on employees and the self-employed to make full and proper use

of PPE provided under these Regulations and to take all reasonable steps to see that it is returned to the accommoda- tion provided for it after use

Charging for the use of PPE An employer is not permitted to charge an employee for the use of PPE at work There is a provision in the Regulations to allow an employer to charge for the private use (i.e outside of work) of PPE by the employee This charge must be reasonable and in line with the cost to the employer resulting from the use of the PPE outside

of work For the purpose of implementing this Regulation, Section 9 of The Health and Safety at Work etc Act 1974, is disapplied (this section prohibited employers from making any charge) in cases subject to this Regulation

I 4 2 The new Regulations

Section 2 of The Health and Safety at Work etc Act 1974 is

not sufficiently explicit to comply with the terms of the

framework directive Consequently new Regulations will

have to b’e made (and may be implemented by the time this

book is published) They will be made under Section 15 of The

Health and Safety at Work etc Act and will cover all

situations of work as yet not covered by existing Regulations

Most pre-health and safety at work law concerning PPE is to

be revoked as it is not considered ‘consistent with modern

pracrice or selection, use and maintenance of PPE’ Some

older legislation will remain but will need alteration - pri-

marily to take account of the new European approval method

(in place iof the old HSE approval) These are Section 30(6) of

The Factories Act 1961 Regulations 50,51 and 60 of The Ship

Building ,and Ship Repairing Regulations 1960 and paragraph

24 to Regulation 18 of The Approval Code of Practice ‘Safety

in Docks‘ These pieces of legislation deal with entry into

confined spaces The scope of the new Regulations would be

that of The Health and Safety at Work etc Act 1974 to include

mining quarrying and offshore work

T’ne USI: of PPE on means of transport would be dealt with

by Regulations to be made by the Department of Transport

(which is why it is specifically excluded from the definition of

W E ) Guidance on the selection maintenance and use of PPE

is to be published along with the new Regulations The

Regulations will not apply to the areas covered by existing

(post-HS’W) Reguiations (as listed above) but, rather these

Regulations will be modified so as to be in line with the new

general R.egulations

The duty to provide PPE Existing legislation requires risks to

be controlled at source and only stipulates the use of PPE if

the Iisk cannot be adequately controlled This duty is carried

on in the new Ilegulations The duty is placed on the self-

employed as well as employers

Si4itubiiity Regulation 4(3) of the new Regulations defines

suitability The overriding requirement is that the PPE is

suitable for the degree of risk ‘so far as is reasonably practi-

cable’ After 30 June 1992 all PPE must carry the European

mark of approval (the ‘CE’ mark) Regulations to be pub-

lished by the DTI (which will implement the EC PPE Product

Directive) will require manufacturers and suppliers of new

PPE to ensure that their products comply with the basic safety

requirements of those Regulations HSE approvals would

cease once the new Regulations apply Any existing PPE can

continue to be used if it complies with Regulation 4(3)

Assessment Regulation 5 requires the assessment of PPE,

and this shall comprise:

1 An assessment of any risk or risks which have not been

avoided by oth- rr means;

2 The definition of the characteristics which PPE must have

in order to be effeclive against the risk referred to in (1)

above, taking into account any risks which the equipment

itself may create;

3 Comparison of the characteristics of the PPE available

with the characteristics referred to in (2) above

Accommodation for PPE Regulatnon 7 requires accommo-

dation falr PPE, and this is considered necessary to ensure

proper maintenance and to enable equipment to be kept

clean

Use of PPE Regulation 9 requires that employers who

provide PPE shall take all reasonable steps to ensure that it is

More than a quarter of accidents reported to authorities each year are a result of manual handling While it may be noted that fatalities are rare, major injuries (for instance, those involving major limb fractures) as a result of manual handling constituted 7% of those reported in 1988/1989

The great majority of lost work days as a result of accidents involving handling were in connection with sprains or strains (approximately 64%) The most likely affected area is the back (40% of all ’over 3-day‘ injuries)

It should also be noted that it is not the traditional ‘heavy’ industries that result in the most accidents The incidence of manual handling injury is widespread For example, the incidence of manual handling injury in the construction indus- try is about 37% while that for the medical, veterinary and other health services is 51%

The latest thinking in manual handling is known as the

‘ergonomic approach’ This takes into account the nature of the task, the load the working environment and the indivi- dual’s capability The old legislation approach of simple lifting-weight limits has now fallen into disfavour as being too simplistic and likely to lead to erroneous conclusions concern- ing an individual’s capability

Draft Regulations concerning manual handling have been proposed but have not yet been brought into force It is suggested that the Regulations will require an assessment to

be made of handling operations likely to result in injury

In order to avoid carrying out assessments on all manual handling operations (which would be an impossible task), guidelines are given as to the area of manual handling that is not likely to result in injury These guidelines are not intended

to be rigid and detail lifting and lowering of weights The maximum capability of a person to lift a given weight is represented by the use of a diagram The greatest lifting power

is for weights held close to the body and for those lifts which

do not involve lifting above the shoulder or below the knee

As an example, 25 kg may be safely lifted closed to the body between the upper thigh and the waist, while the capability of lifting a weight at arm‘s length from the shoulder to above the head is only 5 kg

The guidelines for carrying are essentially similar to those for lifting with the proviso that no carrying will take place with weights lower than knuckle height If weights are carried on the shoulder detailed assessment may show that greater weights may be carried

The guideline for pushing and pulling is a load of 250 New- tons to start or stop the push and 100 Newtons continually

18/12 Health and safety

If lifting from a seated position, the maximum that can be

lifted (without further assessment) is 5 kg, if only lifted from

waist height to shoulder height near to the body

It should be noted that all of these weight limits are

designed for safe lifting by 95% of all men and between one

half and two-thirds of women If the same degree of protection

is required for 95% of women, the weight limits should be

Use the body more effectively (e.g no twisting)

Rest periods flexibly arranged

Less dangerous to hold (not oily, corrosive, dirty, etc.)

The working environment

Space constraints

Floors (condition and nature) Working at different levels Thermal environment Lighting

Individual capabilities

Personal capability - injuries, pregnancy, back problems, etc Knowledge and training - as a complement to safe systems of

work Training to recognize loads which might cause injury - care with unfamiliar loads

Further reading

BS E N 292, Safety of Machines, British Standards Institution,

Control of Substances Hazardous to Health Regulations, HMSO, London

London (1988)

and Safety, Butterworths, London (1990) publication)

Butterworths, London (1990) Buttenvorths, London (1980) Oxford (1990)

Fife, I and Machin, E A , , Redgrave, Fife and Machin’s Health Health and Safety at W o r k , Croner Publications, London (looseleaf Kletz, T A , Critical Aspects of Safety and Loss Prevention,

Lees, F P., Loss Prevention in the Process Industries,

Ridley, J., Safety at W o r k , 3rd edn, Buttenvorth-Heinemann,

19 Units, symbols and

constants

The Systeme International d'Unites (SI) ha5 been adopted and

is defined by I S 0 1000 Here the system is described and

conversions to other commonly used systems are given

SI comprises seven basic units from which a wide range of

quantities can be derived in the form of products and quotients

of these units which are shown in Table 19.1 The definitions

of these units are as foilows

Metre (m) The metre is the length equal to 1 650 753.73

wavelengths in vacuum of the radiation corresponding to the

transition between the levels 2p10 and 5d5 of the krypton-86

atom

Kilogram (kg) The kilogram is the unit of mass; it is equal to

the mass of the international prototype of the kilogram

Second Is) The second is the duration of 9 192 631 770

periods of the radiation corresponding to the transition be-

tween the two hyperfine levels of the ground state of the

caesium-133 atom

Ampere (A) The ampere is that constant current which, if

maintained in two straight parallel conductors of infinite

length, af negligible circular cross-section, and placed 1 m

apart in vacuum, would produce between these conductors a

force equal to 2 x io-' newtons per metre of length

Kelvin (4:) The kelvin, unit of thermodynamic temperature,

is the fraction U273.16 of the thermodynamic temperature of

the triple point of water

Candela (cd) The candela is the luminous intensity, in the

perpendilcular direction, of a surface of 1/600 000 m2 of a

black body at the temperature of freezing platinum under a

pressure of 101 325 newtons per square metre

The supplementary base units are defined as follows:

Plane angle (radian) The angle subtended at the centre of a

oirde of radius 1 m by an arc of length 1 m along the

circumference

Solid angle (steradian) The solid angle subtended at the

centre of' a sphere of radius 1 m by an area of 1 m2 on the

surface

Mole (mol) is the amount of substance of a system which

contains as many elementary entities as there are atoms in

0.012 kg of carbon-12 The elementary entities must be speci-

fied and #can be atom molecules, ion electrons, other particles

or specifi,ed groups of such particles

SI is a rationalized and coherent system because, for any one

physicaI quantity, it admits of only one measurement unit with

Table 19:l Basic SI units

Thermodynamic temperaturea kelvin K

a Temperature difference is commonly expressed in degrees Celsius

instead of' degrees Kelvin The unit of the temperature interval for

these scales is the same: K

Physical quantity SI unii Unit symbol

Force

Work, energy

quantity of heat Power Electric charge Electric potential Electric capacitance Electric resistance Frequency Magnetic flux Magnetic flux density Inductance

Luminous flux

Illumination

newton joule watt coulomb volt farad ohm hertz weber tesla henry lumen lux

* One steradian (sr) is the solid angle which, having its vertex at the

centre of a sphere cuts off an area of the surface of the sphere equal to that of a square with sides of length equal to the radius af the sphere The SI unit of electric dipole moment (A s m) is usually expressed as a coulomb metre (C m)

its entire structure derived from no more than seven arbitrarily defined basic units It is coherent because the derived units are always the products or quotients of two 0: more of these basic units Thus the SI unit for velocity is m s-' (metre per second) and for acceleration is m 5-* (metre per second every second) Special names (Table 19.2) have been given to some derived units as an aid to communication

Although SI is complete in itself, certain non-SI units are recognized for use in conjunction with it where, for tradi-

tional, commercial or practical purposes, it is difficult to discard them For example, it is impracticable to disregard the

minute (in SI 60 seconds) and the hour (in SI 3600 seconds) which are non-coherent units

19.1.2 Gravitational and absolute systems

There may be some difficulty in understanding the difference between SI and the Metric Technical System of units which has been used principally in Europe, The main difference is that while mass is expressed in kg in both systems, weight (representing a force) is expressed as kgf (a gravitational unit)

in the MKSA system and as N in SI An absolute unit of force differs from a gravitational unit of force because it induces unit acceleration in a unit mass whereas a gravitational unit imparts gravitational acceleration to a unit mass

A comparison of the more commonly known systems and SI

is shown in Table 19.3 It should be noted in particular how all energy and power, whether from a mechanical, electrical or

heat source, share a common derived unit in the SI

19.1.3

To express magnitudes of a unit, decimal multiples and submultiples are formed using the prefixes shown in Table 19.4 This method of expressing magnitudes ensures complete adherence to a decimal system

Expressing magnitudes of SI units

19/4 Units, symbols and constants

Table 19.3 Commonly used units of measurement

kg

S

"C K

joulea watt amp

N m-'

ft Ibf

Ib or slug sec

"F

ft lbf Btu watt amp Ibf ftC2

hP

ft poundal (pdl)

Ib sec

O F O R

ft pdl Btu watt amp pdl ft-'

cm dyne gram

sec

"C K

dyne cm = erg calorie ergs amp dyne cm-'

metre kgf

kg sec

"C K

kgf m

k cal

metric hp watt amp kgf cm-2

a 1 joule = 1 newton metre or 1 watt second

Table 19.4 The internationally agreed multiples and submultiples

Factor by which the unit is multiplied

One thousand million 109

One thousand millionth 10-9

One million millionth 10-12

One thousand million millionth

One million million millionth lo-''

Prefix

tera mega kilo hectoa decaa decia centia milli micro nano pic0 femto atto

a To be avoided wherever possible

19.1.4 Rules for use of SI units and the decimal

multiples and submultiples

The SI units are preferred but it is impracticable to limit

usage to these, therefore their decimal multiples and

submultiples are also required (For example, it is cum-

bersome to measure road distances or the breadth of a

human hair in metres.)

In order to avoid errors in calculations it is preferable to

use coherent units Therefore, it is strongly recommended

that in calculations only SI units themselves are used and

not their decimal multiples and submultiples (Example:

use N m-2 X lo6 not MN m-2 or N mm-' in a calcula-

tion.)

The use of prefixes representing 10 raised to a power

which is a multiple of 3 is especially recommended

(Example: for length, km m mm pm Thus

hm; dam; dm; cm are non-preferred.)

When expressing a quantity by a numerical value of a unit

it is helpful to use quantities resulting in numerical values

between 0 and 1000 Examples:

12 kN = 12 X lo3 N instead of 12 OOO N

3.94 mm = 3.94 x

14.01 kN m-' = 14.01 X lo3 N m-2 instead of

14 010 N m-'

m instead of 0.00394 m

5 Compound prefixes are not used (Example: write nm not

mpm.) Where, however, a name has been given to a product or a quotient of a basic SI unit (for example, the bar (10' N m-')) it is correct practice to apply the prefix

to the name (for example, millibar

In forming decimal multiples and submultiples of a derived

SI unit preferably only one prefix is used The prefix should

be attached to the unit in the numerator (Example:

MW m-2 not W mm-'.) The exception is stress, where BSI recommend the use of N mm-'

7 Multiplying prefixes are printed immediately adjacent to the SI unit symbol with which they are associated The

multiplication of symbols is usually indicated by leaving a small gap between them (Example: mN = millinewton

If written as m N this would indicate a metre newton.)

bar))

6