The influence of model assumptions in a hybrid prediction tool for railway induced vibration
The influence of model assumptions in a hybrid prediction tool for railway induced vibration
Within the SILVARSTAR project, a user-friendly frequency-based hybrid prediction tool is developed to assess the environmental impact of railway induced vibration. This will be implemented in the existing noise mapping software IMMI. The vibration level in a building in each frequency band is
expressed as the product of source, propagation and receiver terms. A hybrid approach is used that combines experimental data with numerical predictions, providing increased flexibility and applicability. The train and track properties can be selected from a database or as numerical values. The user can select soil impedance and transfer functions from a database, pre-computed for a wide
range of parameters with the MOTIV and TRAFFIC models. An experimental database of force densities, transfer functions, free field vibration and input parameters is also integrated into the new tool. The building response is estimated by means of empirical correction factors. Assumptions within
the modelling approach can influence the prediction accuracy and the present paper aims to quantify these. We focus on the influence of train speed and soil properties on the compliance of the track-soil system and the free field response.
Thompson, David
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Bouvet, Pascal
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Ntotsios, Evangelos
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Nélain, Brice
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Barcet, Sylvain
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Nuber, Andreas
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Fröhling, Bernd
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Reumers, Pieter
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Seyfaddini, Fakhraddin
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Herremans, Geertrui
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Lombaert, Geert
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Degrande, Geert
a09a6d7f-7c2a-4afd-831d-121479197948
21 April 2023
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Bouvet, Pascal
5677d1b5-1d81-4ab6-99cf-df29a3efc125
Ntotsios, Evangelos
877c3350-0497-4471-aa97-c101df72e05e
Nélain, Brice
80e2f0e0-3745-43bf-aa96-b14b7010c0b1
Barcet, Sylvain
49a46d89-e52c-42bd-b370-9c3e5e3bfe15
Nuber, Andreas
b77a8519-b781-4ded-bdf8-e7f81a966a98
Fröhling, Bernd
15594ad3-82be-465b-bc01-f2f64906c324
Reumers, Pieter
4c542eed-6b2b-4581-886a-a31a6cee2885
Seyfaddini, Fakhraddin
ac750d25-45a3-45ea-8f1d-a98838dbd6fd
Herremans, Geertrui
5077b358-50c0-40c8-a1cb-01138855a744
Lombaert, Geert
e0bd0ae1-1511-4ab7-9612-3afa1347c58f
Degrande, Geert
a09a6d7f-7c2a-4afd-831d-121479197948
Thompson, David, Bouvet, Pascal, Ntotsios, Evangelos, Nélain, Brice, Barcet, Sylvain, Nuber, Andreas, Fröhling, Bernd, Reumers, Pieter, Seyfaddini, Fakhraddin, Herremans, Geertrui, Lombaert, Geert and Degrande, Geert
(2023)
The influence of model assumptions in a hybrid prediction tool for railway induced vibration.
In Inter-noise 2022 21-24 August 2022 Scottish Event Camp.
9 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Within the SILVARSTAR project, a user-friendly frequency-based hybrid prediction tool is developed to assess the environmental impact of railway induced vibration. This will be implemented in the existing noise mapping software IMMI. The vibration level in a building in each frequency band is
expressed as the product of source, propagation and receiver terms. A hybrid approach is used that combines experimental data with numerical predictions, providing increased flexibility and applicability. The train and track properties can be selected from a database or as numerical values. The user can select soil impedance and transfer functions from a database, pre-computed for a wide
range of parameters with the MOTIV and TRAFFIC models. An experimental database of force densities, transfer functions, free field vibration and input parameters is also integrated into the new tool. The building response is estimated by means of empirical correction factors. Assumptions within
the modelling approach can influence the prediction accuracy and the present paper aims to quantify these. We focus on the influence of train speed and soil properties on the compliance of the track-soil system and the free field response.
Text
IN_Paper_Ab768_Thompson_Submitted
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More information
Published date: 21 April 2023
Venue - Dates:
The 51st International Congress and Exposition on Noise Control Engineering: Internoise 2022, Scottish Event Campus (SEC), Glasgow, United Kingdom, 2022-08-21 - 2022-08-24
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Local EPrints ID: 476994
URI: http://eprints.soton.ac.uk/id/eprint/476994
PURE UUID: db3088ec-fa3f-47a9-a664-9961eeacbf8b
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Date deposited: 23 May 2023 16:34
Last modified: 17 Mar 2024 03:33
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Contributors
Author:
Pascal Bouvet
Author:
Brice Nélain
Author:
Sylvain Barcet
Author:
Andreas Nuber
Author:
Bernd Fröhling
Author:
Pieter Reumers
Author:
Fakhraddin Seyfaddini
Author:
Geertrui Herremans
Author:
Geert Lombaert
Author:
Geert Degrande
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