Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration
Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration
Within the SILVARSTAR project, a user-friendly frequency-based hybrid prediction tool has been developed to assess the environmental impact of railway-induced vibration. This tool is integrated in existing noise mapping software. Following modern vibration standards and guidelines, the vibration velocity level in a building in each frequency band is expressed as the sum of a force density (source term), line source transfer mobility (propagation term) and building correction factor (receiver term). A hybrid approach is used that allows for a combination of experimental data and numerical predictions, providing increased flexibility and applicability. The train and track properties can be selected from a database or entered as numerical values. The user can select soil impedance and transfer functions from a database, pre-computed for a wide range of parameters with state-of-the-art models. An experimental database of force densities, transfer functions, free field vibration and input parameters is also provided. The building response is estimated by means of building correction factors. Assumptions within the modelling approach are made to reduce computation time but these can influence prediction accuracy; this is quantified for the case of a nominal intercity train running at different speeds on a ballasted track supported by homogeneous soil of varying stiffness. The paper focuses on the influence of these parameters on the compliance of the track–soil system and the free field response. We also demonstrate the use and discuss the validation of the vibration prediction tool for the case of a high-speed train running on a ballasted track in Lincent (Belgium).
Experimental validation, Hybrid vibration prediction model, Low-speed approximation, Railway-induced vibration
Reumers, Pieter
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Degrande, Geert
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Lombaert, Geert
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Thompson, David J.
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Ntotsios, Evangelos
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Bouvet, Pascal
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Nélain, Brice
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Nuber, Andreas
b77a8519-b781-4ded-bdf8-e7f81a966a98
18 September 2024
Reumers, Pieter
4c542eed-6b2b-4581-886a-a31a6cee2885
Degrande, Geert
a09a6d7f-7c2a-4afd-831d-121479197948
Lombaert, Geert
e0bd0ae1-1511-4ab7-9612-3afa1347c58f
Thompson, David J.
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Ntotsios, Evangelos
877c3350-0497-4471-aa97-c101df72e05e
Bouvet, Pascal
5677d1b5-1d81-4ab6-99cf-df29a3efc125
Nélain, Brice
80e2f0e0-3745-43bf-aa96-b14b7010c0b1
Nuber, Andreas
b77a8519-b781-4ded-bdf8-e7f81a966a98
Reumers, Pieter, Degrande, Geert, Lombaert, Geert, Thompson, David J., Ntotsios, Evangelos, Bouvet, Pascal, Nélain, Brice and Nuber, Andreas
(2024)
Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration.
Railway Engineering Science.
(doi:10.1007/s40534-024-00346-4).
Abstract
Within the SILVARSTAR project, a user-friendly frequency-based hybrid prediction tool has been developed to assess the environmental impact of railway-induced vibration. This tool is integrated in existing noise mapping software. Following modern vibration standards and guidelines, the vibration velocity level in a building in each frequency band is expressed as the sum of a force density (source term), line source transfer mobility (propagation term) and building correction factor (receiver term). A hybrid approach is used that allows for a combination of experimental data and numerical predictions, providing increased flexibility and applicability. The train and track properties can be selected from a database or entered as numerical values. The user can select soil impedance and transfer functions from a database, pre-computed for a wide range of parameters with state-of-the-art models. An experimental database of force densities, transfer functions, free field vibration and input parameters is also provided. The building response is estimated by means of building correction factors. Assumptions within the modelling approach are made to reduce computation time but these can influence prediction accuracy; this is quantified for the case of a nominal intercity train running at different speeds on a ballasted track supported by homogeneous soil of varying stiffness. The paper focuses on the influence of these parameters on the compliance of the track–soil system and the free field response. We also demonstrate the use and discuss the validation of the vibration prediction tool for the case of a high-speed train running on a ballasted track in Lincent (Belgium).
Text
s40534-024-00346-4
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Accepted/In Press date: 10 June 2024
Published date: 18 September 2024
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Publisher Copyright:
© The Author(s) 2024.
Keywords:
Experimental validation, Hybrid vibration prediction model, Low-speed approximation, Railway-induced vibration
Identifiers
Local EPrints ID: 495637
URI: http://eprints.soton.ac.uk/id/eprint/495637
ISSN: 2662-4745
PURE UUID: 53557c4d-c44d-413b-88d1-511c11e7fbfc
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Date deposited: 19 Nov 2024 17:52
Last modified: 20 Nov 2024 02:45
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Contributors
Author:
Pieter Reumers
Author:
Geert Degrande
Author:
Geert Lombaert
Author:
Pascal Bouvet
Author:
Brice Nélain
Author:
Andreas Nuber
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