A hybrid prediction tool for railway induced vibration
A hybrid prediction tool for railway induced vibration
One of the main objectives of the SILVARSTAR project is to
develop a user-friendly frequency-based hybrid prediction tool to assess
the environmental impact of railway induced vibration. This model will
be integrated in the existing noise mapping software IMMI. Following
modern vibration standards and guidelines, the vibration level in the
building in each frequency band is expressed as the product of source,
propagation and receiver terms. We explain the key quantities of interest
(vibration velocity level, line source transfer mobility, force density,
building correction factor), resulting in a framework that is ideally suited
for a hybrid approach that combines experimental data with numerical
predictions (e.g. pre-computed soil impedance and transfer functions),
providing increased exibility and applicability. We also discuss the validation of the prototype vibration prediction tool.
railway induced vibration, hybrid vibration prediction model
Bouvet, Pascal
1c215149-9fd3-4604-a39d-b27d6ee9f6f4
Nelain, Brice
9194ffbf-a1a6-4922-bd28-c36a16a91783
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Ntotsios, Evangelos
877c3350-0497-4471-aa97-c101df72e05e
Nuber, Andreas
e54c9b6c-0924-4102-8e4f-6e70cca66797
Fröhling, Bernd
3df28076-bdf0-411d-a25a-f6db3c50df47
Reumers, Pieter
eb612c8c-4afc-455f-b16c-d052e460ad79
Seyfaddini, Fakhraddin
d5a64730-6591-4739-a703-32807bcfb6d6
Herremans, Geertrui
07405d25-9742-4403-bee2-faa7ef7a747c
Lombaert, Geert
7525ab51-2c39-420a-997a-92f22e1e173d
Degrande, Geert
222f155a-50be-4fbe-a394-7b5469e20ee9
December 2022
Bouvet, Pascal
1c215149-9fd3-4604-a39d-b27d6ee9f6f4
Nelain, Brice
9194ffbf-a1a6-4922-bd28-c36a16a91783
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Ntotsios, Evangelos
877c3350-0497-4471-aa97-c101df72e05e
Nuber, Andreas
e54c9b6c-0924-4102-8e4f-6e70cca66797
Fröhling, Bernd
3df28076-bdf0-411d-a25a-f6db3c50df47
Reumers, Pieter
eb612c8c-4afc-455f-b16c-d052e460ad79
Seyfaddini, Fakhraddin
d5a64730-6591-4739-a703-32807bcfb6d6
Herremans, Geertrui
07405d25-9742-4403-bee2-faa7ef7a747c
Lombaert, Geert
7525ab51-2c39-420a-997a-92f22e1e173d
Degrande, Geert
222f155a-50be-4fbe-a394-7b5469e20ee9
Bouvet, Pascal, Nelain, Brice, Thompson, David, Ntotsios, Evangelos, Nuber, Andreas, Fröhling, Bernd, Reumers, Pieter, Seyfaddini, Fakhraddin, Herremans, Geertrui, Lombaert, Geert and Degrande, Geert
(2022)
A hybrid prediction tool for railway induced vibration.
14th International Workshop on Railway Noise, Shanghai, China, , Shanghai, China.
07 - 09 Dec 2022.
10 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
One of the main objectives of the SILVARSTAR project is to
develop a user-friendly frequency-based hybrid prediction tool to assess
the environmental impact of railway induced vibration. This model will
be integrated in the existing noise mapping software IMMI. Following
modern vibration standards and guidelines, the vibration level in the
building in each frequency band is expressed as the product of source,
propagation and receiver terms. We explain the key quantities of interest
(vibration velocity level, line source transfer mobility, force density,
building correction factor), resulting in a framework that is ideally suited
for a hybrid approach that combines experimental data with numerical
predictions (e.g. pre-computed soil impedance and transfer functions),
providing increased exibility and applicability. We also discuss the validation of the prototype vibration prediction tool.
Text
ip-iwrn14-degr-22a
- Version of Record
More information
Published date: December 2022
Venue - Dates:
14th International Workshop on Railway Noise, Shanghai, China, , Shanghai, China, 2022-12-07 - 2022-12-09
Keywords:
railway induced vibration, hybrid vibration prediction model
Identifiers
Local EPrints ID: 477023
URI: http://eprints.soton.ac.uk/id/eprint/477023
PURE UUID: beb5952c-bf15-453c-8b23-94170fe6d661
Catalogue record
Date deposited: 23 May 2023 16:52
Last modified: 17 Mar 2024 03:33
Export record
Contributors
Author:
Pascal Bouvet
Author:
Brice Nelain
Author:
Andreas Nuber
Author:
Bernd Fröhling
Author:
Pieter Reumers
Author:
Fakhraddin Seyfaddini
Author:
Geertrui Herremans
Author:
Geert Lombaert
Author:
Geert Degrande
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
