Component-based model to predict aerodynamic noise from high-speed train pantographs
Component-based model to predict aerodynamic noise from high-speed train pantographs
At typical speeds of modern high-speed trains the aerodynamic noise produced by the airflow over the pantograph is a significant source of noise. Although numerical models can be used to predict this they are still very computationally intensive. A semi-empirical component-based prediction model is proposed to predict the aerodynamic noise from train pantographs. The pantograph is approximated as an assembly of cylinders and bars with particular cross-sections. An empirical database is used to obtain the coefficients of the model to account for various factors: incident flow speed, diameter, cross-sectional shape, yaw angle, rounded edges, length-to-width ratio, incoming turbulence and directivity. The overall noise from the pantograph is obtained as the incoherent sum of the predicted noise from the different pantograph struts. The model is validated using available wind tunnel noise measurements of two full-size pantographs. The results show the potential of the semi-empirical model to be used as a rapid tool to predict aerodynamic noise from train pantographs.
280-308
Latorre Iglesias, E.
3cdb7920-9f71-48fa-8f09-34557e5ce9a4
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5
Smith, M.G.
1bc8608d-0178-4793-8f73-46a6c6b9b279
28 April 2017
Latorre Iglesias, E.
3cdb7920-9f71-48fa-8f09-34557e5ce9a4
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5
Smith, M.G.
1bc8608d-0178-4793-8f73-46a6c6b9b279
Latorre Iglesias, E., Thompson, D.J. and Smith, M.G.
(2017)
Component-based model to predict aerodynamic noise from high-speed train pantographs.
Journal of Sound and Vibration, 394, .
(doi:10.1016/j.jsv.2017.01.028).
Abstract
At typical speeds of modern high-speed trains the aerodynamic noise produced by the airflow over the pantograph is a significant source of noise. Although numerical models can be used to predict this they are still very computationally intensive. A semi-empirical component-based prediction model is proposed to predict the aerodynamic noise from train pantographs. The pantograph is approximated as an assembly of cylinders and bars with particular cross-sections. An empirical database is used to obtain the coefficients of the model to account for various factors: incident flow speed, diameter, cross-sectional shape, yaw angle, rounded edges, length-to-width ratio, incoming turbulence and directivity. The overall noise from the pantograph is obtained as the incoherent sum of the predicted noise from the different pantograph struts. The model is validated using available wind tunnel noise measurements of two full-size pantographs. The results show the potential of the semi-empirical model to be used as a rapid tool to predict aerodynamic noise from train pantographs.
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Component-based model to predict aerodynamic noise from high-speed train pantrographs
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Accepted/In Press date: 16 January 2017
e-pub ahead of print date: 30 January 2017
Published date: 28 April 2017
Organisations:
ISVR Consulting, Dynamics Group
Identifiers
Local EPrints ID: 407833
URI: http://eprints.soton.ac.uk/id/eprint/407833
ISSN: 0022-460X
PURE UUID: e14a8d44-c026-4d2a-bb02-e1a1d29ed54a
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Date deposited: 26 Apr 2017 01:15
Last modified: 16 Mar 2024 05:12
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Author:
E. Latorre Iglesias
Author:
M.G. Smith
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