The University of Southampton
University of Southampton Institutional Repository

Prediction of ground-borne vibration generated at railway crossings using a hybrid model

Prediction of ground-borne vibration generated at railway crossings using a hybrid model
Prediction of ground-borne vibration generated at railway crossings using a hybrid model
Railway crossings are an important source of localized ground vibration. Models are required for identifying ways to tackle unacceptable levels of vibration from existing as well as future railway lines. Yet, the use of a prediction model that directly allows for the non-Hertzian wheel-rail contact dynamics and also includes three dimensional calculations of the ground response would be computationally expensive. In order to reduce the computational cost without affecting the accuracy of the predictions, a hybrid approach is proposed for the prediction of ground-borne vibration due to impacts at railway crossings. The approach combines the simulation of the vertical wheel-rail contact force in the time domain and the prediction of ground vibration levels in the far field using a linear wavenumber-frequency-domain approach. The proposed hybrid approach is used to investigate the influence of different vehicle speeds, crossing designs and wheel profiles on predicted ground vibration levels in the free field.
Ground-borne Vibration, Railway Crossings, Hybrid Model, Equiv-alent Rail Unevenness
Ntotsios, Evangelos
877c3350-0497-4471-aa97-c101df72e05e
Kostovasilis, Dimitrios
ea6c3649-99fa-41a7-98bc-2f6ad875b050
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Bezin, Yann
ab3c46ce-6068-473f-a8cb-9aef699da669
Ntotsios, Evangelos
877c3350-0497-4471-aa97-c101df72e05e
Kostovasilis, Dimitrios
ea6c3649-99fa-41a7-98bc-2f6ad875b050
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Bezin, Yann
ab3c46ce-6068-473f-a8cb-9aef699da669

Ntotsios, Evangelos, Kostovasilis, Dimitrios, Thompson, David, Squicciarini, Giacomo and Bezin, Yann (2019) Prediction of ground-borne vibration generated at railway crossings using a hybrid model. 13th International Workshop on Railway Noise, , Ghent, Belgium. 16 - 20 Sep 2019. 8 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Railway crossings are an important source of localized ground vibration. Models are required for identifying ways to tackle unacceptable levels of vibration from existing as well as future railway lines. Yet, the use of a prediction model that directly allows for the non-Hertzian wheel-rail contact dynamics and also includes three dimensional calculations of the ground response would be computationally expensive. In order to reduce the computational cost without affecting the accuracy of the predictions, a hybrid approach is proposed for the prediction of ground-borne vibration due to impacts at railway crossings. The approach combines the simulation of the vertical wheel-rail contact force in the time domain and the prediction of ground vibration levels in the far field using a linear wavenumber-frequency-domain approach. The proposed hybrid approach is used to investigate the influence of different vehicle speeds, crossing designs and wheel profiles on predicted ground vibration levels in the free field.

Text
IWRN13_Ntotsios_etal_final - Accepted Manuscript
Download (434kB)

More information

Published date: 2019
Venue - Dates: 13th International Workshop on Railway Noise, , Ghent, Belgium, 2019-09-16 - 2019-09-20
Keywords: Ground-borne Vibration, Railway Crossings, Hybrid Model, Equiv-alent Rail Unevenness

Identifiers

Local EPrints ID: 436923
URI: http://eprints.soton.ac.uk/id/eprint/436923
PURE UUID: 55405044-951a-4f58-a208-940af03d35ef
ORCID for Evangelos Ntotsios: ORCID iD orcid.org/0000-0001-7382-0948
ORCID for David Thompson: ORCID iD orcid.org/0000-0002-7964-5906
ORCID for Giacomo Squicciarini: ORCID iD orcid.org/0000-0003-2437-6398

Catalogue record

Date deposited: 14 Jan 2020 17:30
Last modified: 17 Mar 2024 03:33

Export record

Contributors

Author: Dimitrios Kostovasilis
Author: David Thompson ORCID iD
Author: Yann Bezin

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×