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Tiêu đề Railway Applications — Track — Track Geometry Quality Part 6: Characterisation Of Track Geometry Quality
Trường học British Standards Institution
Chuyên ngành Railway Applications
Thể loại Standard
Năm xuất bản 2014
Thành phố Brussels
Định dạng
Số trang 32
Dung lượng 1,21 MB

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EUROPÄISCHE NORM March 2014 ICS 93.100 English Version Railway applications - Track - Track geometry quality - Part 6: Characterisation of track geometry quality Applications ferroviai

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BSI Standards Publication

Railway applications — Track — Track geometry quality

Part 6: Characterisation of track geometry quality

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National foreword

This British Standard is the UK implementation of EN 13848-6:2014.The UK participation in its preparation was entrusted to TechnicalCommittee RAE/2, Railway Applications - Track

A list of organizations represented on this committee can beobtained on request to its secretary

This publication does not purport to include all the necessaryprovisions of a contract Users are responsible for its correctapplication

© The British Standards Institution 2014 Published by BSI StandardsLimited 2014

ISBN 978 0 580 77862 9ICS 93.100

Compliance with a British Standard cannot confer immunity from legal obligations.

This British Standard was published under the authority of theStandards Policy and Strategy Committee on 30 April 2014

Amendments issued since publication

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EUROPÄISCHE NORM March 2014

ICS 93.100

English Version

Railway applications - Track - Track geometry quality - Part 6:

Characterisation of track geometry quality

Applications ferroviaires - Voie - Qualité géométrique de la

voie - Partie 6: Caractérisation de la qualité géométrique de

la voie

Bahnanwendungen - Oberbau - Qualität der Gleisgeometrie

- Teil 6: Charakterisierung der geometrischen

Gleislagequalität

This European Standard was approved by CEN on 3 February 2014

CEN members are bound to comply with the CEN/CENELEC Internal Regulations which stipulate the conditions for giving this European Standard the status of a national standard without any alteration Up-to-date lists and bibliographical references concerning such national standards may be obtained on application to the CEN-CENELEC Management Centre or to any CEN member

This European Standard exists in three official versions (English, French, German) A version in any other language made by translation under the responsibility of a CEN member into its own language and notified to the CEN-CENELEC Management Centre has the same status as the official versions

CEN members are the national standards bodies of Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Former Yugoslav Republic of Macedonia, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania,

Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom

EUROPEAN COMMITTEE FOR STANDARDIZATION

C O M I T É E U R O P É E N D E N O R M A L I S A T I O N

E U R O P Ä I S C H E S K O M I T E E F Ü R N O R M U N G

CEN-CENELEC Management Centre: Avenue Marnix 17, B-1000 Brussels

© 2014 CEN All rights of exploitation in any form and by any means reserved

worldwide for CEN national Members

Ref No EN 13848-6:2014 E

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Contents Page

Foreword 4

1 Scope 5

2 Normative references 5

3 Terms, definitions, symbols and abbreviations 5

3.1 Terms and definitions 5

3.2 Symbols and abbreviations 5

4 Basic principles 6

4.1 Introduction 6

4.2 Transparency 6

4.3 Complexity 7

4.4 Track-vehicle interaction 7

5 Assessment of track geometry quality: state-of-the-art 7

5.1 General 7

5.2 Standard deviation (SD) 7

5.3 Isolated defects 8

5.4 Combination of various parameters 8

5.4.1 Combined standard deviation (CoSD) 8

5.4.2 Standard deviation of the combinations of parameters 9

5.4.3 Point mass acceleration method (PMA) 10

5.5 Methods based on vehicle response 10

5.5.1 Use of theoretical model 10

5.5.2 Use of direct measurement 11

5.6 Power Spectral Density (PSD) 11

6 Levels of aggregation and calculation methods 12

7 Classes of track geometry quality 12

7.1 General 12

7.2 Description of track quality classes (TQC) 13

7.3 Values of track quality classes 14

7.4 Assignment of TQCs 15

7.5 Possible application of TQCs 15

Annex A (informative) Point mass acceleration method (PMA) 17

A.1 Introduction 17

A.2 Description of the PMA model 17

A.3 Calculation of the PMA-assessment figure 17

A.4 Features of the PMA method 18

Annex B (informative) Vehicle Response Analysis methods (VRA) 19

B.1 Introduction 19

B.2 Determination of the assessment functions 19

B.3 Application of the assessment functions 21

B.4 Features of VRA methods 23

Annex C (normative) Method for calculating reference TQIs (TQI ref) 24

C.1 Introduction 24

C.2 Description of the reference method 24

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Annex D (informative) Method of classification of alternative TQI using the TQCs 26

D.1 Introduction 26

D.2 Description of the conversion method 26

Bibliography 28

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Foreword

This document (EN 13848-6:2014) has been prepared by Technical Committee CEN/TC 256 “Railway applications”, the secretariat of which is held by DIN

This European Standard shall be given the status of a national standard, either by publication of an identical text or

by endorsement, at the latest by September 2014, and conflicting national standards shall be withdrawn at the latest

— Part 1: Characterisation of track geometry

— Part 2: Measuring systems – Track recording vehicles

— Part 3: Measuring systems – Track construction and maintenance machines

— Part 4: Measuring systems – Manual and lightweight devices

— Part 5: Geometric quality levels – Plain line

— Part 6: Characterisation of track geometry quality

According to the CEN-CENELEC Internal Regulations, the national standards organizations of the following countries are bound to implement this European Standard: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Former Yugoslav Republic of Macedonia, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom

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1 Scope

This European Standard characterizes the quality of track geometry based on parameters defined in EN 13848-1 and specifies the different track geometry classes which should be considered

This European Standard covers the following topics:

— description of track geometry quality;

— classification of track quality according to track geometry parameters;

— considerations on how this classification can be used;

— this European Standard applies to high-speed and conventional lines of 1 435 mm and wider gauge;

— this European Standard forms an integral part of EN 13848 series

2 Normative references

The following documents, in whole or in part, are normatively referenced in this document and are indispensable for its application For dated references, only the edition cited applies For undated references, the latest edition of the referenced document (including any amendments) applies

EN 13848-1, Railway applications - Track - Track geometry quality - Part 1: Characterisation of track geometry

3 Terms, definitions, symbols and abbreviations

3.1 Terms and definitions

For the purposes of this document, the following terms and definitions apply

track quality class (TQC)

characterization of track geometry quality as a function of speed and expressed as a range of TQIs

3.1.3

track quality index (TQI)

value that characterises track geometry quality of a track section based on parameters and measuring methods compliant with EN 13848 series

3.2 Symbols and abbreviations

For the purposes of this document, the following symbols and abbreviations apply

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Table 1 — Symbols and abbreviations

D3 Wavelength range 70 m < λ ≤ 150 m for longitudinal level

Wavelength range 70 m < λ ≤ 200 m for alignment

m

NTQI National Track Quality Index

SD LL Standard deviation longitudinal level mm

VRA Vehicle Response Analysis (method)

NOTE In this European Standard, AL stands for “alignment” and is not to be confused with AL standing for “alert limit” as

cost-Basic parameters for track geometry quality assessment

As track geometry measurement, vehicles present their outputs in accordance with the parameters specified in

EN 13848-1, any standardized assessment method shall be based on these parameters

4.2 Transparency

Any algorithm for track geometry quality assessment complying with this standard shall be fully documented, reproducible and available in the public domain

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5 Assessment of track geometry quality: state-of-the-art

The standard deviation is one of the most commonly used TQIs by European Railway Networks It represents the

dispersion of a signal over a given track section, in relation to the mean value of this signal over the considered section

1

)(

N

where

N is the number of values in the sample;

x i is the current value of a signal;

x is the mean value of a signal;

SD is the standard deviation

NOTE 1 Standard deviation is linked to the energy of the signal in a given wavelength range [λ1, λ2] according to the following

relationship: = ∫ 2

1

2 2 λλ S ( ν ) d ν

SD xx , where S xx is the PSD described in 5.6 below

SD is commonly calculated for the following parameters:

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— Longitudinal level D2;

— Alignment D2

For longitudinal level and alignment it is recommended to calculate SD separately for each rail It may also be

calculated differently (for example: mean of both rails, worst or best of either rail or outer rail in curves)

Length of track section used for standard deviation has influence on the result If comparable results are expected, only one length should be used Commonly, for maintenance reasons standard deviation is calculated over a length

of 200 m It may be calculated either at fixed distances without overlap or with overlap, as a sliding standard deviation Calculation of standard deviation is also done over longer distances such as 1 km, an entire line or an entire network

NOTE 2 Distinction between specific track sections, such as plain lines, stations and switches and crossings, can also be made

When calculating SD for twist, track gauge and cross level attention should be paid on the possible influence of the quasi-static part of the signals

5.3 Isolated defects

Isolated defects may present a derailment risk; however counting the number of isolated defects exceeding a specified threshold such as intervention limit and alert limit on a given fixed length of track can be representative of the track geometry quality This method is used by several European Railway Networks

The number of isolated defects per unit of track length is commonly counted for the following parameters:

Alternatively a calculation can be made to specify what percentage of a line exceeds a certain threshold level

5.4 Combination of various parameters

5.4.1 Combined standard deviation (CoSD)

Assessment of the overall track geometry quality of a track section (200 m, 1 000 m ) can be done by a combination

of weighted standard deviations of individual geometric parameters An example of such a TQI is given below

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2 2

2 2

.

LL LL CL

CL G

G AL

w

where

SD standard deviation of the individual geometry parameters;

w weighting factor of the individual geometry parameters;

with the indices:

AL alignment, average of left and right rails;

G track gauge;

CL cross level;

LL longitudinal level, average of left and right rails

It is up to the Infrastructure Manager to determine the weighting factors, e.g for tamping purposes the weighting

factor w G should be zero

Another method might be to transform the standard deviations of geometry parameters or their combinations into a dimensionless number that can be used without distinction of line category, speed range and track geometry parameter

5.4.2 Standard deviation of the combinations of parameters

Standard deviation for a combination of track geometry parameters can be evaluated This is based on the observation that the level of the combined signals may better reflect the vehicle behaviour than the individual signals For example, a standard deviation, over a sliding 200 m length of track, can be evaluated for the sum of alignment

and cross level in D1 as follows:

— the alignments of left and right rails are combined into one signal, in curves by choosing the outer rail and on tangent track by either averaging or choosing one of the two rails;

— cross level and alignment signals are combined together by using a sign convention so that an alignment defect

to the right is added with the same sign to a cross level defect where right rail is lower than the left rail Figure 1

shows an example of the combination of cross level Δz and alignment ywhere the signs are both positive;

— the standard deviation of the combined signals is calculated over a sliding 200 m length of track

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Key

1 reference position

y = (ALright + ALleft) / 2 combination of alignment

Δz = zright - zleft cross level

s sum of cross level and alignment

Figure 1 — Combination of alignment and cross level 5.4.3 Point mass acceleration method (PMA)

The PMA method is based on the following principles:

— The PMA model considers an unsprung virtual vehicle It is assumed to be a point mass, thus only the motion of the centre of gravity is investigated This point mass is guided in a certain distance over the track centre line

— The point mass is moved at a constant speed corresponding to the maximum allowed speed over the measured track section

— Due to the geometrical imperfection of the track, which is described by the longitudinal level and alignment of both rails, the point mass incurs accelerations ay and az in the horizontal and vertical directions

— The vectorial summation of these accelerations is used to characterize the track geometry quality

Theoretical background information as well as features of the PMA method are given in Annex A

5.5 Methods based on vehicle response

5.5.1 Use of theoretical model

Vehicle response analysis (VRA) can be used to make objective, quantified statements about the relationship between the track geometry quality and the vehicle’s responses at various speeds It takes into consideration factors such as successions of isolated defects that might generate resonance, combinations of defects at the same location and local track design (e.g curvature and cant)

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The VRA method is based on the following principles:

— Calculation of vehicle response to the track geometry measured according to EN 13848-1 The vehicle response being represented by the wheel-rail forces and by accelerations of the vehicle running gear and car body;

— Consideration of different vehicle types and speeds, taking into account the worst response of all vehicles considered at every measuring point;

— The output can be referred back to single parameters like longitudinal level, twist and alignment;

— The assessment criteria take into account the limit values given by EN 14363

When using this method attention should be paid to the consistency between the wavelength domain of the track geometry and the frequency range of the vehicle response parameters

An example of a VRA method as well as features of such methods are given in Annex B

5.5.2 Use of direct measurement

Although not generally used for TQIs calculation, direct measurements of vehicle response can help in assessing

interaction between running vehicle and track, with respect to safety as well as ride quality

Usually the accelerations of bogie and car body are measured in both lateral and vertical directions, but

measurement of wheel-rail forces, such as lateral and vertical forces (Y and Q), can also be made

Inspection runs are usually made on high speed lines, but they can also be of interest on conventional lines

The following principles should be respected when using direct measurement:

— The vehicles used for these evaluations are representative of the rolling stock used on the assessed lines

— The runs are made at the maximum speed of the line, with a tolerance of ± 10 %

— The measurements are made at the parts of the vehicle where the highest response is expected, e.g the leading bogie or wheelset

— The state of the rail surface (wet or dry) is taken into account

— The position of the train shall be known to be able to locate any defects found

5.6 Power Spectral Density (PSD)

The PSD gives the energy of the signal in relation to frequency for a given track geometry parameter measured over

a given track section

For a track geometric parameter x, the most commonly used formula to calculate the PSD is given by:

) ( ) (

1 lim

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X is the complex conjugate of X ( ν )

In order to be representative, the PSD should be calculated:

— over a sufficient length of track, typically 5 km However, shorter lengths can also be used by applying Short Time Fourier Transform techniques in order to analyse changes of the spectral characteristics of track geometry;

— over a section of track with features and quality as homogeneous as possible, e.g same track layout or same components;

— for a wide range of wavelengths including at least D1 and D2

PSD can be of help for characterizing geometric quality over a section of track or a line for:

— vehicle manufacturers to have a better knowledge of the quality of the track the vehicles will run on;

— infrastructure managers to know which defect wavelengths are present on the track

One of the main advantages of PSD is that it can show typical peaks corresponding to the existence of repetitive

defects such as welds

As there are other methods for calculating PSD, the method used for should be specified

6 Levels of aggregation and calculation methods

Track geometry quality is analysed for a variety of purposes Different kinds of analysis may be necessary and it is recommended to classify them into different levels of aggregation, according to the expected use of the particular analysis Hereunder three levels of aggregation of track geometry data are defined:

— Detailed level: this level contains the analyses required for deciding local interventions, short term track maintenance and operational restrictions These analyses can also be of value in case studies by vehicle designers and vehicle-track interaction studies

— Intermediate level: this level contains the analyses used to do medium term track maintenance and renewal planning This level of aggregation can also be of interest for vehicle design and acceptance procedures

— Overview level: this level contains the analyses required for strategic decisions A large amount of data are summarized into a few indicators to gain an overview of all or part of a network These analyses are useful for long term network management by infrastructure managers and national authorities as well as for railway undertakings

Assessment of individual isolated defects as defined in EN 13848-5 is most suitable for characterizing track

geometry on a detailed aggregation level Standard deviation (SD) is most commonly used to describe track

geometry quality for intermediate and overview aggregation levels

7 Classes of track geometry quality

7.1 General

Considering their wide use across European Railway Networks and the need to have a single, easily understandable

TQI, standard deviation (SD) of longitudinal level and alignment is taken as the reference method to describe track

geometry quality It will be referred to as TQI ref in the following

Nevertheless, any other means of description of the track geometry quality can be used, provided that complete documentation is available about the method and how it relates to the reference method

For the purpose of this standard, a survey was conducted to evaluate the European Track Quality in order to

establish track quality classes and determine their respective limit values The survey has been carried out in the D1

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domain according to the method described in Annex C The track quality data of the participating networks was collected and the cumulative frequency distributions were calculated using a weighted average, according to the

network lengths, to achieve European Track Quality distributions for five different speed ranges (V in km/h) which

NOTE 2 More details on the track quality survey can be found in the technical report FprCEN/TR 16513

For speeds higher than 160 km/h standard deviations within wavelength D2 (and D3) may also be considered but the corresponding values have not yet been defined

7.2 Description of track quality classes (TQC)

A way to provide an overview of track geometry quality on a track section is a cumulative frequency distribution of

the TQIs ref as shown in Figure 2 This graph shows the percentage of track length undershooting a given TQI ref value

on the considered track section Figure 2 shows the European distribution of LL for the speed range 0 km/h to

80 km/h For example, in this figure, Y2 % of the concerned track section has a TQI ref value that is less than X2

Key

1 European track quality distribution (average)

X reference track quality index (TQI ref in mm) – see Table 1

Y percentage of track quality distribution

Figure 2 — Determination of the classes of track quality based on the example of LL for the speed range

0 km/h to 80 km/h

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The definition of the TQCs in this standard is based on the cumulative distribution of the weighted average of all the networks participating in the European Track Quality Survey The five TQCs are defined as follows:

— Class A – best 10 % of the distribution of European Track Quality

— Class B – between 10 % and 30 % of the distribution of European Track Quality

— Class C – between 30 % and 70 % of the distribution of European Track Quality

— Class D – between 70 % and 90 % of the distribution of European Track Quality

— Class E – above 90 % of the distribution of European Track Quality which represents the worst 10 % of the distribution

These five TQCs from A to E classify track quality in decreasing order for the five speed ranges mentioned in 7.1 Since it is done separately for longitudinal level and alignment, this can lead to different TQCs for each parameter

If a classification of a track section is to be done using these TQCs, the method described in Annex C shall be

applied in order to have comparable results

Where an alternative TQI is to be applied, the relationship between the TQCs derived using this TQI and derived

using the method specified in Annex C should be established according to the method described in Annex D

7.3 Values of track quality classes

Table 2 and Table 3 define respectively the limit values of longitudinal level and alignment for each TQC and for

each speed range These tables are based on the track characteristics of the European Railway Networks participating in the European Track Quality Survey performed in 2010 according to the method described in Annex C

Table 2 — Longitudinal level – Standard deviation – D1 domain

Speed (in km/h)

Limit value of standard deviation (in mm)

Track quality class

V > 300 Not available Not available Not available Not available Not available

NOTE 1 Considering that speeds higher than 300 km/h were not taken into account in the survey, no value can be provided for this speed range

For speeds higher than 160 km/h standard deviations within wavelength D2 (and D3) may also be considered but the corresponding values have not yet been defined

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