Investigation of acoustic transmission beneath a railway vehicle by using statistical energy analysis and an equivalent source model
Investigation of acoustic transmission beneath a railway vehicle by using statistical energy analysis and an equivalent source model
An approach is presented for modelling the noise propagation beneath the train floor and this is applied to rolling noise sources. It is assumed that the sound incident on the train floor is made up of a direct and a reverberant component. A combination of two numerical modelling approaches is considered to deal with these: an equivalent source model, to represent the direct component, and statistical energy analysis (SEA) for the reverberant part. In the equivalent source model, the wheel is replaced by monopole and dipole sources, which represent its radial and axial radiation. The rail vertical vibration and the sleepers are replaced by arrays of monopole sources while the rail lateral vibration is replaced by an array of lateral dipoles. The sound power of the rolling noise is obtained by using the TWINS model. In the SEA model, the region beneath the train floor is divided into several volumes and the power input to these subsystems is assumed to be due to the first reflections from the train floor and the ground. The reverberant and direct sound have very similar contributions to the total sound power incident on the train floor although this depends on how the equipment is arranged beneath the train. The modelling approach is verified by comparing the predicted sound pressure levels with laboratory measurements and with field tests.
SEA, equivalent source model, train noise, under-floor noise
Li, Hui
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Thompson, David
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Squicciarini, Giacomo
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Liu, Xiaowan
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Rissmann, Martin
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D. Denia, Francisco
247187d6-f5bd-41cd-a253-5f7d2d2dbc06
Giner-Navarro, Juan
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Li, Hui
cd351a7f-09cb-4e44-9ea4-e77594f4d4f5
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Liu, Xiaowan
85bbaeb6-7fb2-429b-8f29-3a889480d2fd
Rissmann, Martin
085d551d-c0ca-4aa9-ba28-a62eaa725bc2
D. Denia, Francisco
247187d6-f5bd-41cd-a253-5f7d2d2dbc06
Giner-Navarro, Juan
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Li, Hui, Thompson, David, Squicciarini, Giacomo, Liu, Xiaowan, Rissmann, Martin, D. Denia, Francisco and Giner-Navarro, Juan
(2020)
Investigation of acoustic transmission beneath a railway vehicle by using statistical energy analysis and an equivalent source model.
Mechanical Systems and Signal Processing, 150, [107296].
(doi:10.1016/j.ymssp.2020.107296).
Abstract
An approach is presented for modelling the noise propagation beneath the train floor and this is applied to rolling noise sources. It is assumed that the sound incident on the train floor is made up of a direct and a reverberant component. A combination of two numerical modelling approaches is considered to deal with these: an equivalent source model, to represent the direct component, and statistical energy analysis (SEA) for the reverberant part. In the equivalent source model, the wheel is replaced by monopole and dipole sources, which represent its radial and axial radiation. The rail vertical vibration and the sleepers are replaced by arrays of monopole sources while the rail lateral vibration is replaced by an array of lateral dipoles. The sound power of the rolling noise is obtained by using the TWINS model. In the SEA model, the region beneath the train floor is divided into several volumes and the power input to these subsystems is assumed to be due to the first reflections from the train floor and the ground. The reverberant and direct sound have very similar contributions to the total sound power incident on the train floor although this depends on how the equipment is arranged beneath the train. The modelling approach is verified by comparing the predicted sound pressure levels with laboratory measurements and with field tests.
Text
NoiseUnderFloor_final submission
- Accepted Manuscript
More information
Accepted/In Press date: 9 September 2020
e-pub ahead of print date: 26 September 2020
Keywords:
SEA, equivalent source model, train noise, under-floor noise
Identifiers
Local EPrints ID: 444090
URI: http://eprints.soton.ac.uk/id/eprint/444090
ISSN: 0888-3270
PURE UUID: c435a056-5ade-4db2-9311-0dbb8a61409c
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Date deposited: 24 Sep 2020 16:44
Last modified: 17 Mar 2024 05:56
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Contributors
Author:
Hui Li
Author:
Xiaowan Liu
Author:
Martin Rissmann
Author:
Francisco D. Denia
Author:
Juan Giner-Navarro
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