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A hybrid modelling approach for predicting ground vibration from trains

A hybrid modelling approach for predicting ground vibration from trains
A hybrid modelling approach for predicting ground vibration from trains
The prediction of ground vibration from trains presents a number of difficulties. The ground is effectively an infinite medium, often with a layered structure and with properties that may vary greatly from one location to another. The vibration from a passing train forms a transient event, which limits the usefulness of steady-state frequency domain models. Moreover, there is often a need to consider vehicle/track interaction in more detail than is commonly used in frequency domain models, such as the 2.5D approach, while maintaining the computational efficiency of the latter. However, full time-domain approaches involve large computation times, particularly where three-dimensional ground models are required. Here, a hybrid modelling approach is introduced. The vehicle/track interaction is calculated in the time domain in order to be able t account directly for effects such as the discrete sleeper spacing. Forces acting on the ground are extracted from this first model and used in a second model to predict the ground response at arbitrary locations. In the present case the second model is a layered ground model operating in the frequency domain. Validation of the approach is provided by comparison with an existing frequency domain model. The hybrid model is then used to study the sleeper-passing effect, which is shown to be less significant than excitation due to track unevenness in all the cases considered.
0022-460X
147-173
Triepaischajonsak, N.
faa742b0-0cc1-4e6a-9e7d-52b615835f27
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5
Triepaischajonsak, N.
faa742b0-0cc1-4e6a-9e7d-52b615835f27
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5

Triepaischajonsak, N. and Thompson, D.J. (2015) A hybrid modelling approach for predicting ground vibration from trains. Journal of Sound and Vibration, 335, 147-173. (doi:10.1016/j.jsv.2014.09.029).

Record type: Article

Abstract

The prediction of ground vibration from trains presents a number of difficulties. The ground is effectively an infinite medium, often with a layered structure and with properties that may vary greatly from one location to another. The vibration from a passing train forms a transient event, which limits the usefulness of steady-state frequency domain models. Moreover, there is often a need to consider vehicle/track interaction in more detail than is commonly used in frequency domain models, such as the 2.5D approach, while maintaining the computational efficiency of the latter. However, full time-domain approaches involve large computation times, particularly where three-dimensional ground models are required. Here, a hybrid modelling approach is introduced. The vehicle/track interaction is calculated in the time domain in order to be able t account directly for effects such as the discrete sleeper spacing. Forces acting on the ground are extracted from this first model and used in a second model to predict the ground response at arbitrary locations. In the present case the second model is a layered ground model operating in the frequency domain. Validation of the approach is provided by comparison with an existing frequency domain model. The hybrid model is then used to study the sleeper-passing effect, which is shown to be less significant than excitation due to track unevenness in all the cases considered.

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More information

Accepted/In Press date: 23 September 2014
e-pub ahead of print date: 18 October 2014
Published date: 20 January 2015
Organisations: Dynamics Group

Identifiers

Local EPrints ID: 381756
URI: http://eprints.soton.ac.uk/id/eprint/381756
ISSN: 0022-460X
PURE UUID: cb0b256c-c6c8-4c62-afce-eb2ee26145d8
ORCID for D.J. Thompson: ORCID iD orcid.org/0000-0002-7964-5906

Catalogue record

Date deposited: 13 Oct 2015 14:06
Last modified: 15 Mar 2024 02:53

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Contributors

Author: N. Triepaischajonsak
Author: D.J. Thompson ORCID iD

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