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Assessment of measurement-based methods for separating wheel and track contributions to railway rolling noise

Assessment of measurement-based methods for separating wheel and track contributions to railway rolling noise
Assessment of measurement-based methods for separating wheel and track contributions to railway rolling noise
The noise produced during a train pass-by originates from several different sources such as propulsion noise, noise from auxiliary equipment, aerodynamic noise and rolling noise. The rolling noise is radiated by the wheels and the track and is excited by the wheel and rail unevenness, usually referred to as roughness. The current TSI Noise certification method, which must be satisfied by all new mainline trains in Europe, relies on the use of a reference track to quantify the noise from new vehicles. The reference track is defined by an upper limit of the rail roughness and a lower limit of the track decay rate (TDR). However, since neither the rail roughness nor the track radiation can be completely neglected, the result cannot be taken as representing only the vehicle noise and the measurement does not allow separate identification of the noise radiated by wheel and track. It is even likely that further reductions in the limit values for new rolling stock cannot be achieved on current tracks. There is therefore a need for a method to separate the noise into these two components reliably and cheaply. The purpose of the current study is to assess existing and new methods for rolling noise separation. Field tests have been carried out under controlled conditions, allowing the different methods to be compared. The TWINS model is used with measured vibration data to give reference estimates of the wheel and track noise components. Six different methods are then considered that can be used to estimate the track component. It is found that most of these methods can obtain the track component of noise with acceptable accuracy. However, apart from the TWINS model, the wheel noise component could only be estimated directly using three methods and unfortunately these did not give satisfactory results in the current tests.
0003-682X
48-62
Thompson, David
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Squicciarini, Giacomo
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Zhang, Jin
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Lopez Arteaga, Ines
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Zea, Elias
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Dittrich, Michael
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Jansen, Erwin
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Arcas, Kevin
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Cierco, Ester
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Magrans, F.X.
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Malkoun, Antoine
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Iturritxa, Egoitz
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Guiral, Ainara
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Stangl, Matthias
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Schleinzer, Gerald
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Martin Lopez, Beatriz
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Chaufour, Claire
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Wandell, Johan
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Thompson, David
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Squicciarini, Giacomo
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Zhang, Jin
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Lopez Arteaga, Ines
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Zea, Elias
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Dittrich, Michael
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Jansen, Erwin
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Arcas, Kevin
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Cierco, Ester
20120c7e-b3dc-4292-af5f-824e0c5c33b9
Magrans, F.X.
c7140381-f199-4fc1-8f26-abb69fe213f1
Malkoun, Antoine
817ce5bb-e7b4-41a0-9266-b16e72d5323a
Iturritxa, Egoitz
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Guiral, Ainara
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Stangl, Matthias
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Schleinzer, Gerald
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Martin Lopez, Beatriz
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Chaufour, Claire
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Wandell, Johan
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Thompson, David, Squicciarini, Giacomo, Zhang, Jin, Lopez Arteaga, Ines, Zea, Elias, Dittrich, Michael, Jansen, Erwin, Arcas, Kevin, Cierco, Ester, Magrans, F.X., Malkoun, Antoine, Iturritxa, Egoitz, Guiral, Ainara, Stangl, Matthias, Schleinzer, Gerald, Martin Lopez, Beatriz, Chaufour, Claire and Wandell, Johan (2018) Assessment of measurement-based methods for separating wheel and track contributions to railway rolling noise. Applied Acoustics, 140, 48-62. (doi:10.1016/j.apacoust.2018.05.012).

Record type: Article

Abstract

The noise produced during a train pass-by originates from several different sources such as propulsion noise, noise from auxiliary equipment, aerodynamic noise and rolling noise. The rolling noise is radiated by the wheels and the track and is excited by the wheel and rail unevenness, usually referred to as roughness. The current TSI Noise certification method, which must be satisfied by all new mainline trains in Europe, relies on the use of a reference track to quantify the noise from new vehicles. The reference track is defined by an upper limit of the rail roughness and a lower limit of the track decay rate (TDR). However, since neither the rail roughness nor the track radiation can be completely neglected, the result cannot be taken as representing only the vehicle noise and the measurement does not allow separate identification of the noise radiated by wheel and track. It is even likely that further reductions in the limit values for new rolling stock cannot be achieved on current tracks. There is therefore a need for a method to separate the noise into these two components reliably and cheaply. The purpose of the current study is to assess existing and new methods for rolling noise separation. Field tests have been carried out under controlled conditions, allowing the different methods to be compared. The TWINS model is used with measured vibration data to give reference estimates of the wheel and track noise components. Six different methods are then considered that can be used to estimate the track component. It is found that most of these methods can obtain the track component of noise with acceptable accuracy. However, apart from the TWINS model, the wheel noise component could only be estimated directly using three methods and unfortunately these did not give satisfactory results in the current tests.

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Assessment of measurement-based methods for separating wheel and track contributions to railway rolling noise - Accepted Manuscript
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More information

Accepted/In Press date: 9 May 2018
e-pub ahead of print date: 17 May 2018
Published date: November 2018

Identifiers

Local EPrints ID: 420933
URI: http://eprints.soton.ac.uk/id/eprint/420933
ISSN: 0003-682X
PURE UUID: 837b67fa-fe8c-4fa2-b33a-cc5cde181d50
ORCID for David Thompson: ORCID iD orcid.org/0000-0002-7964-5906
ORCID for Giacomo Squicciarini: ORCID iD orcid.org/0000-0003-2437-6398

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Date deposited: 18 May 2018 16:30
Last modified: 16 Mar 2024 06:37

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Contributors

Author: David Thompson ORCID iD
Author: Jin Zhang
Author: Ines Lopez Arteaga
Author: Elias Zea
Author: Michael Dittrich
Author: Erwin Jansen
Author: Kevin Arcas
Author: Ester Cierco
Author: F.X. Magrans
Author: Antoine Malkoun
Author: Egoitz Iturritxa
Author: Ainara Guiral
Author: Matthias Stangl
Author: Gerald Schleinzer
Author: Beatriz Martin Lopez
Author: Claire Chaufour
Author: Johan Wandell

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