A modelling approach for noise transmission through extruded panels in railway vehicles
A modelling approach for noise transmission through extruded panels in railway vehicles
The noise inside railway vehicles plays an important role for the comfort of passengers and train crew. In determining the interior noise, the noise transmission through the train floor and sidewalls is particularly important. Modern train body structures are often made of extruded aluminium panels and the current work focuses on modelling the noise radiation from, and transmission through such structures. Use is made of a statistical energy analysis (SEA) approach which is established with the support of a waveguide finite element (2.5D FE) model. The latter is used to study the vibration properties of the extruded panel that are then utilized to calibrate simple equivalent analytical models for the various components of the extrusion. These in turn are used to define the input parameters for the SEA model, e.g. the modal densities and the coupling loss factors between subsystems. With the aid of such a calibration, the predictions from the SEA model of the sound transmission loss and of the radiation efficiency of the extruded panel agree well with measurements and numerical models using the 2.5D FE/BE approach and the VA One software. By following the procedures outlined in this paper, SEA models can be established by using a simple analytical representation of different parts of the extruded panel and hence without the need to develop ad-hoc and computationally expensive numerical models.
2.5D FE method, SEA, extruded panel, sound transmission loss, radiation efficiency
Li, Hui
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Squicciarini, Giacomo
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Thompson, David
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Ryue, Jungsoo
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Xiao, Xinbiao
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Yao, Dan
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Chen, Junlin
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Li, Hui
cd351a7f-09cb-4e44-9ea4-e77594f4d4f5
Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Ryue, Jungsoo
06336056-2b9b-4620-9c4a-f2cbd602ab3e
Xiao, Xinbiao
c36efcb5-a494-4070-b2f5-6dc5f49864b3
Yao, Dan
40b7eda5-e571-47ce-98dd-578bfd588733
Chen, Junlin
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Li, Hui, Squicciarini, Giacomo, Thompson, David, Ryue, Jungsoo, Xiao, Xinbiao, Yao, Dan and Chen, Junlin
(2021)
A modelling approach for noise transmission through extruded panels in railway vehicles.
Journal of Sound and Vibration, 502, [116095].
(doi:10.1016/j.jsv.2021.116095).
Abstract
The noise inside railway vehicles plays an important role for the comfort of passengers and train crew. In determining the interior noise, the noise transmission through the train floor and sidewalls is particularly important. Modern train body structures are often made of extruded aluminium panels and the current work focuses on modelling the noise radiation from, and transmission through such structures. Use is made of a statistical energy analysis (SEA) approach which is established with the support of a waveguide finite element (2.5D FE) model. The latter is used to study the vibration properties of the extruded panel that are then utilized to calibrate simple equivalent analytical models for the various components of the extrusion. These in turn are used to define the input parameters for the SEA model, e.g. the modal densities and the coupling loss factors between subsystems. With the aid of such a calibration, the predictions from the SEA model of the sound transmission loss and of the radiation efficiency of the extruded panel agree well with measurements and numerical models using the 2.5D FE/BE approach and the VA One software. By following the procedures outlined in this paper, SEA models can be established by using a simple analytical representation of different parts of the extruded panel and hence without the need to develop ad-hoc and computationally expensive numerical models.
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A modelling approach for noise transmission through extruded panels in railway vehicles
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Accepted/In Press date: 19 March 2021
e-pub ahead of print date: 22 March 2021
Keywords:
2.5D FE method, SEA, extruded panel, sound transmission loss, radiation efficiency
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Local EPrints ID: 469892
URI: http://eprints.soton.ac.uk/id/eprint/469892
PURE UUID: 6a4f7b70-238d-4d9f-b184-a8c0cbcc74b2
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Date deposited: 28 Sep 2022 16:35
Last modified: 17 Mar 2024 07:29
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Author:
Hui Li
Author:
Jungsoo Ryue
Author:
Xinbiao Xiao
Author:
Dan Yao
Author:
Junlin Chen
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