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Aerodynamic noise of high-speed train pantographs: Comparisons between field measurements and an updated component-based prediction model

Aerodynamic noise of high-speed train pantographs: Comparisons between field measurements and an updated component-based prediction model
Aerodynamic noise of high-speed train pantographs: Comparisons between field measurements and an updated component-based prediction model
Aerodynamic noise from pantographs becomes an important source of noise from trains at high speeds. Previous studies have mostly been based on numerical predictions using computational aeroacoustic methods, which require large computing resources, or measurements conducted in a wind tunnel which cannot take all the real conditions into account. A component-based model relying on empirical constants obtained from the literature has been shown to predict aerodynamic noise from pantographs that agrees well with wind tunnel measurements. This model is extended in this paper by making use of simulation results on individual cylinders to refine the model constants and the Reynolds number dependence. In addition, allowance for the effect of incoming turbulence and cylinder aspect ratio is also extended. The updated model shows improved agreement with wind tunnel measurements, particularly at low frequencies. This model is then used to predict pantograph noise in more realistic conditions during train pass-by. The incoming flow conditions in terms of the incident flow speed, the turbulence intensity and the turbulence length scale are estimated from the literature considering the development of the boundary layer along the train roof. The sensitivity of the model to these assumptions is assessed using Monte Carlo simulations. The predicted results are compared with field measurements obtained using microphone array techniques for pantograph on different operational trains. Good agreement is obtained between the predictions and the measurements in terms of the far-field noise spectra and the dependence of noise level on speed. Differences are noted between measured levels for different orientations of the pantograph which according to the model are mainly related to the distance of the pantograph from the front of the train.
Aerodynamic noise, Component-based model, Microphone array measurement, Train pantograph
0003-682X
Liu, Xiaowan
85bbaeb6-7fb2-429b-8f29-3a889480d2fd
Zhang, Jin
4cb1ed20-f74c-4b0c-a3aa-29761b0640b7
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Iglesias, Eduardo Latorre
c205c139-244e-4d73-9139-122e80b6bd20
Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Hu, Zhiwei
dd985844-1e6b-44ba-9e1d-fa57c6c88d65
Toward, Martin
1d10e993-e6ef-449d-bccb-1f8198169bee
Lurcock, Daniel
84050d36-bf4a-4257-9fb9-c115066aab57
Liu, Xiaowan
85bbaeb6-7fb2-429b-8f29-3a889480d2fd
Zhang, Jin
4cb1ed20-f74c-4b0c-a3aa-29761b0640b7
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Iglesias, Eduardo Latorre
c205c139-244e-4d73-9139-122e80b6bd20
Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Hu, Zhiwei
dd985844-1e6b-44ba-9e1d-fa57c6c88d65
Toward, Martin
1d10e993-e6ef-449d-bccb-1f8198169bee
Lurcock, Daniel
84050d36-bf4a-4257-9fb9-c115066aab57

Liu, Xiaowan, Zhang, Jin, Thompson, David, Iglesias, Eduardo Latorre, Squicciarini, Giacomo, Hu, Zhiwei, Toward, Martin and Lurcock, Daniel (2021) Aerodynamic noise of high-speed train pantographs: Comparisons between field measurements and an updated component-based prediction model. Applied Acoustics, 175, [107791]. (doi:10.1016/j.apacoust.2020.107791).

Record type: Article

Abstract

Aerodynamic noise from pantographs becomes an important source of noise from trains at high speeds. Previous studies have mostly been based on numerical predictions using computational aeroacoustic methods, which require large computing resources, or measurements conducted in a wind tunnel which cannot take all the real conditions into account. A component-based model relying on empirical constants obtained from the literature has been shown to predict aerodynamic noise from pantographs that agrees well with wind tunnel measurements. This model is extended in this paper by making use of simulation results on individual cylinders to refine the model constants and the Reynolds number dependence. In addition, allowance for the effect of incoming turbulence and cylinder aspect ratio is also extended. The updated model shows improved agreement with wind tunnel measurements, particularly at low frequencies. This model is then used to predict pantograph noise in more realistic conditions during train pass-by. The incoming flow conditions in terms of the incident flow speed, the turbulence intensity and the turbulence length scale are estimated from the literature considering the development of the boundary layer along the train roof. The sensitivity of the model to these assumptions is assessed using Monte Carlo simulations. The predicted results are compared with field measurements obtained using microphone array techniques for pantograph on different operational trains. Good agreement is obtained between the predictions and the measurements in terms of the far-field noise spectra and the dependence of noise level on speed. Differences are noted between measured levels for different orientations of the pantograph which according to the model are mainly related to the distance of the pantograph from the front of the train.

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Aerodynamic noise of high-speed train pantographs Comparisons between field measurements and an updated component-based prediction model - Accepted Manuscript
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More information

Accepted/In Press date: 11 November 2020
e-pub ahead of print date: 13 December 2020
Published date: April 2021
Additional Information: Publisher Copyright: © 2020 Elsevier Ltd
Keywords: Aerodynamic noise, Component-based model, Microphone array measurement, Train pantograph

Identifiers

Local EPrints ID: 446683
URI: http://eprints.soton.ac.uk/id/eprint/446683
ISSN: 0003-682X
PURE UUID: 8a272c96-9bb2-4ef3-ad81-560095cda6fa
ORCID for David Thompson: ORCID iD orcid.org/0000-0002-7964-5906
ORCID for Giacomo Squicciarini: ORCID iD orcid.org/0000-0003-2437-6398
ORCID for Martin Toward: ORCID iD orcid.org/0000-0001-7334-4355
ORCID for Daniel Lurcock: ORCID iD orcid.org/0000-0001-9054-8843

Catalogue record

Date deposited: 17 Feb 2021 17:35
Last modified: 17 Mar 2024 06:18

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Contributors

Author: Xiaowan Liu
Author: Jin Zhang
Author: David Thompson ORCID iD
Author: Eduardo Latorre Iglesias
Author: Zhiwei Hu
Author: Martin Toward ORCID iD
Author: Daniel Lurcock ORCID iD

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