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AAE556 Lecture 15 Finite element subsonic aeroelastic models

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Everything you wanted to know about aerodynamics but were afraid to ask• Lift per unit length ly changes along the span of a 3-D wing • The 2-D lift curve slope is not the same as the

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AAE 556 Aeroelasticity

Lecture 15 Finite element subsonic aeroelastic

models

I like algebra Algebra is my friend.

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Purdue Aeroelasticity 15-2

Lift computation

idealizations

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Everything you wanted to know about aerodynamics but were afraid to ask

Lift per unit length l(y) changes along

the span of a 3-D wing

• The 2-D lift curve slope is not the same

as the 3-D lift curve slope

• Lift curve slope in degrees

• e = Oswald’s efficiency factor

57.

o L

o

a C

a eAR

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Aerodynamic strip theory

• Wing is sub-divided into

a set of small spanwise

strips

• The lift and pitching

moment on each strip is

modeled as if the strip

had infinite span

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Paneling methods

• The wing is replaced by a thin

surface

• This surface is replaced by a

finite number of elements or

panels with aerodynamic

features such as singularities

• There is an aerodynamic

influence coefficient matrix with

interactive elements

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Strip theory gives different

results

Source: G Dimitriadis, University of Liege

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Paneling - idealization

requirements and limitations

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Purdue Aeroelasticity 15-10

Panel aero model finding the lift distribution

p i =VG i

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Lifting line wing model

trailing vortices extending to infinity

Downwash matching points at 3/4 chord

The wing can be unswept or have non-constant chord

Horseshoe vortices with varying strength

bound at 1/4 chord points

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Purdue Aeroelasticity 15-12

Panel aerodynamics interacts because

of downwash (angle of attack) matching

Each horseshoe vortex creates a flow field

around it The 3/4 chord downwash is affected by every other vortex on

the wing The vortex strengths must be

adjusted so that all conditions are satisfied.

Vortex influence decays

with distance

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Aerodynamic relationship

wing

Solving for vortex strengths allow us to

approximate the lift distribution

Relationship between local

angle of attack and segment

lift values.

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2D lift curve slope

Matrix elements are functions of wing planform geometry

Matrix is square, but not symmetrical

 i = rigid + q structural +  control

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Structural idealization

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Purdue Aeroelasticity 15-16

Each panel has its own FBD and

panel geometry

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Put them all together to get the static equilibrium

equations – this is where the aeroelastic

interaction occurs

        i r s c 1 A ij   p j

q

local angles dynamic pressure

lift on each element

  q s      Cp i j  j

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Wing Geometry

15-18

Purdue Aeroelasticity

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Flexible and Rigid lift distributions

(M=0.5) areas under each curve are equal

4.87 13.85

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Purdue Aeroelasticity 15-20

Flexible and Rigid lift

distribution (M=0.6)

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Rigid and flexible roll

effectiveness (pb/2V)

MRev= 0.55

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Purdue Aeroelasticity 15-22

Rigid wing and flexible wing C L

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Divergence Mach number

Divergence Mach No = 0.590

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Purdue Aeroelasticity 15-24

Summary

• Use of bound vortices creates a math model that can predict subsonic high aspect ratio

wing lift distribution.

• This model has been incorporated into a

MATLAB code that you will use to do some homework exercises to calculate divergence, lift effectiveness and control effectiveness.

• You will compare the trends previously

derived

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