Estimation of track parameters and wheel--rail combined roughness from rail vibration
Estimation of track parameters and wheel--rail combined roughness from rail vibration
Rolling noise from running trains is significantly influenced by the wheel–rail combined roughness and the dynamic properties of the track. To facilitate predictions of vibration and noise, it is desirable to be able to determine these parameters accurately from field measurements. In this study, an inverse method for the determination of these parameters is adopted and enhanced. A track model that is based on a wavenumber finite element model of the free rail coupled to discrete supports, which allows for the pinned–pinned mode and cross–sectional deformation of the rail, has been used. The rail vibration induced by hammer impacts and the vibration during train passages are simulated using this model, and these results are then applied to illustrate the accuracy of the direct and indirect methods for the estimation of track decay rate. These methods are compared in a case study for a ballasted track for which hammer impact and train pass–by measurements have been obtained. Other track parameters can also be extracted from the measured data by using the advanced track model. Thereafter, a more complete method is adopted to estimate the wheel–rail combined roughness from the measured rail vibration under train passages. A comparison is made among the estimated roughness levels obtained from this full method, an existing simplified method and the direct measurement method. It is found that the simplified method overestimates the roughness around the pinned–pinned resonance frequency, but gives a good estimation if the track decay rates of the loaded track are used.
1149-1167
Li, Qi
193e5502-fc0d-4a67-8b41-ed4d8b560c2f
Thompson, David J.
bca37fd3-d692-4779-b663-5916b01edae5
Toward, Martin G.R.
1d10e993-e6ef-449d-bccb-1f8198169bee
1 April 2018
Li, Qi
193e5502-fc0d-4a67-8b41-ed4d8b560c2f
Thompson, David J.
bca37fd3-d692-4779-b663-5916b01edae5
Toward, Martin G.R.
1d10e993-e6ef-449d-bccb-1f8198169bee
Li, Qi, Thompson, David J. and Toward, Martin G.R.
(2018)
Estimation of track parameters and wheel--rail combined roughness from rail vibration.
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 232 (4), .
(doi:10.1177/0954409717710126).
Abstract
Rolling noise from running trains is significantly influenced by the wheel–rail combined roughness and the dynamic properties of the track. To facilitate predictions of vibration and noise, it is desirable to be able to determine these parameters accurately from field measurements. In this study, an inverse method for the determination of these parameters is adopted and enhanced. A track model that is based on a wavenumber finite element model of the free rail coupled to discrete supports, which allows for the pinned–pinned mode and cross–sectional deformation of the rail, has been used. The rail vibration induced by hammer impacts and the vibration during train passages are simulated using this model, and these results are then applied to illustrate the accuracy of the direct and indirect methods for the estimation of track decay rate. These methods are compared in a case study for a ballasted track for which hammer impact and train pass–by measurements have been obtained. Other track parameters can also be extracted from the measured data by using the advanced track model. Thereafter, a more complete method is adopted to estimate the wheel–rail combined roughness from the measured rail vibration under train passages. A comparison is made among the estimated roughness levels obtained from this full method, an existing simplified method and the direct measurement method. It is found that the simplified method overestimates the roughness around the pinned–pinned resonance frequency, but gives a good estimation if the track decay rates of the loaded track are used.
Text
Estimation of track parameters and wheel–rail combined roughness from rail vibration
- Accepted Manuscript
More information
Accepted/In Press date: 15 April 2017
e-pub ahead of print date: 28 June 2017
Published date: 1 April 2018
Additional Information:
© IMechE 2017.
Organisations:
Dynamics Group
Identifiers
Local EPrints ID: 408648
URI: http://eprints.soton.ac.uk/id/eprint/408648
ISSN: 0954-4097
PURE UUID: da157305-1be6-4cff-9052-871e97361222
Catalogue record
Date deposited: 25 May 2017 04:03
Last modified: 16 Mar 2024 05:17
Export record
Altmetrics
Contributors
Author:
Qi Li
Author:
Martin G.R. Toward
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