The University of Southampton
University of Southampton Institutional Repository

Simplified contact filters in wheel/rail noise prediction

Simplified contact filters in wheel/rail noise prediction
Simplified contact filters in wheel/rail noise prediction
When predicting rolling noise due to wheel and rail roughness a “contact filter” is generally applied to account for the effect of the finite size of the wheel/rail contact. For time-domain analysis these calculations must be fast enough to get results in a reasonable time. Remington and Webb have devised a versatile three-dimensional ‘distributed point reacting spring’ (DPRS) contact model that is relatively quick, but if only one line of data is available along the contact it is unnecessarily complex, so a simpler two-dimensional version has been developed here. When this new model was checked against a Boussinesq analysis of the contact, the results in one-third octave bands were found to agree to within 3 dB. These results further suggest that the two-dimensional DPRS model might have an unexpectedly wide range of applicability, including large amplitude sinusoidal roughness and discrete features such as a rail joint. When implemented at each step in a time-domain wheel/rail interaction analysis, this model gave similar results to quasi-static roughness filtering with a constant load for moderate roughness, but dynamic effects became significant when the roughness amplitudes were large, particularly with dipped rail joints.
0022-460X
807-818
Ford, R.A.J.
2ac377f3-64d7-4e12-a9d1-45ff1404eb6c
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5
Ford, R.A.J.
2ac377f3-64d7-4e12-a9d1-45ff1404eb6c
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5

Ford, R.A.J. and Thompson, D.J. (2006) Simplified contact filters in wheel/rail noise prediction. Journal of Sound and Vibration, 293 (3-5), 807-818. (doi:10.1016/j.jsv.2005.08.049).

Record type: Article

Abstract

When predicting rolling noise due to wheel and rail roughness a “contact filter” is generally applied to account for the effect of the finite size of the wheel/rail contact. For time-domain analysis these calculations must be fast enough to get results in a reasonable time. Remington and Webb have devised a versatile three-dimensional ‘distributed point reacting spring’ (DPRS) contact model that is relatively quick, but if only one line of data is available along the contact it is unnecessarily complex, so a simpler two-dimensional version has been developed here. When this new model was checked against a Boussinesq analysis of the contact, the results in one-third octave bands were found to agree to within 3 dB. These results further suggest that the two-dimensional DPRS model might have an unexpectedly wide range of applicability, including large amplitude sinusoidal roughness and discrete features such as a rail joint. When implemented at each step in a time-domain wheel/rail interaction analysis, this model gave similar results to quasi-static roughness filtering with a constant load for moderate roughness, but dynamic effects became significant when the roughness amplitudes were large, particularly with dipped rail joints.

This record has no associated files available for download.

More information

Published date: 2006

Identifiers

Local EPrints ID: 28423
URI: http://eprints.soton.ac.uk/id/eprint/28423
ISSN: 0022-460X
PURE UUID: ecd8d4f1-b6cb-49b1-94b9-7d8dd7775293
ORCID for D.J. Thompson: ORCID iD orcid.org/0000-0002-7964-5906

Catalogue record

Date deposited: 28 Apr 2006
Last modified: 16 Mar 2024 02:54

Export record

Altmetrics

Contributors

Author: R.A.J. Ford
Author: D.J. Thompson ORCID iD

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.

×