Soil vibration and auralisation software tools for application in railways
Soil vibration and auralisation software tools for application in railways
The main objective of the SILVARSTAR Shift2Rail project is to develop validated software tools in the field of ground vibration
and auralisation. The first project work stream focuses on the prediction of ground vibration through the development of a hybrid
approach, combining numerical prediction with experimental results. The general framework adopted expresses the vibration level
in a building as the product of terms describing the source, the propagation through the soil and the receiver. In the second work
stream, auralisation and Virtual Reality (VR) software tools are developed based on physical models to synthesise railway noise in
high quality. The novel auralisation and VR tools enable perception-based evaluation of noise mitigation technologies and an
effective demonstration of different noise scenarios, including noise mitigation measures and vehicle design variants.
Bouvet, Pascal
1c215149-9fd3-4604-a39d-b27d6ee9f6f4
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Pieren, Reto
a33d0197-c0ad-4458-b1a4-18f750e3858b
Degrande, Geert
a09a6d7f-7c2a-4afd-831d-121479197948
Nuber, Andreas
b77a8519-b781-4ded-bdf8-e7f81a966a98
Garcia, Martha
0eed0e60-44e6-4615-a5ea-1bebe6a7bfd7
Bouvet, Pascal
1c215149-9fd3-4604-a39d-b27d6ee9f6f4
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Pieren, Reto
a33d0197-c0ad-4458-b1a4-18f750e3858b
Degrande, Geert
a09a6d7f-7c2a-4afd-831d-121479197948
Nuber, Andreas
b77a8519-b781-4ded-bdf8-e7f81a966a98
Garcia, Martha
0eed0e60-44e6-4615-a5ea-1bebe6a7bfd7
Bouvet, Pascal, Thompson, David, Pieren, Reto, Degrande, Geert, Nuber, Andreas and Garcia, Martha
(2022)
Soil vibration and auralisation software tools for application in railways.
Transportation Research Procedia.
(In Press)
Abstract
The main objective of the SILVARSTAR Shift2Rail project is to develop validated software tools in the field of ground vibration
and auralisation. The first project work stream focuses on the prediction of ground vibration through the development of a hybrid
approach, combining numerical prediction with experimental results. The general framework adopted expresses the vibration level
in a building as the product of terms describing the source, the propagation through the soil and the receiver. In the second work
stream, auralisation and Virtual Reality (VR) software tools are developed based on physical models to synthesise railway noise in
high quality. The novel auralisation and VR tools enable perception-based evaluation of noise mitigation technologies and an
effective demonstration of different noise scenarios, including noise mitigation measures and vehicle design variants.
Text
TRA Lisbon 2022_Silvarstar_corrected
- Version of Record
More information
Accepted/In Press date: 14 November 2022
Venue - Dates:
Transport Research Arena (TRA) Conference, Lisbon, Portugal, 2022-11-14 - 2022-11-17
Identifiers
Local EPrints ID: 479154
URI: http://eprints.soton.ac.uk/id/eprint/479154
ISSN: 2352-1465
PURE UUID: d97d1d23-262c-4a2f-9156-2b9497c5a64e
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Date deposited: 20 Jul 2023 16:39
Last modified: 18 Mar 2024 02:43
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Contributors
Author:
Pascal Bouvet
Author:
Reto Pieren
Author:
Geert Degrande
Author:
Andreas Nuber
Author:
Martha Garcia
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