The University of Southampton
University of Southampton Institutional Repository

Comparison of wheel/rail noise radiation on Japanese railways using the TWINS model and microphone array measurements

Comparison of wheel/rail noise radiation on Japanese railways using the TWINS model and microphone array measurements
Comparison of wheel/rail noise radiation on Japanese railways using the TWINS model and microphone array measurements
The railway noise from conventional narrow-gauge lines in Japan mainly consists of rolling noise. A better understanding of rolling noise is required to reduce the noise at the wayside. In the past, in order to quantify wheel/rail noise, theoretical models, such as TWINS, have been developed, and measurements have been carried out with microphone arrays. The TWINS model has been validated in terms of noise and vibration, and used to predict the rail and wheel contributions to the total noise. Results from microphone arrays often give more prominence to the wheel than these predictions. In this paper, the TWINS model is applied to Japanese railways. Through comparisons of predictions with measurements for four types of wheel and one track type, it is shown that the TWINS model gives reliable predictions. Simulations are presented to represent a microphone array. These show that, in the frequency region where waves propagate freely along the rail, the microphone array can significantly underestimate the rail contribution to the noise.
0022-460X
496-509
Kitagawa, T.
2999f2ff-d218-4f9d-b813-3328e0a8beba
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5
Kitagawa, T.
2999f2ff-d218-4f9d-b813-3328e0a8beba
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5

Kitagawa, T. and Thompson, D.J. (2006) Comparison of wheel/rail noise radiation on Japanese railways using the TWINS model and microphone array measurements. Journal of Sound and Vibration, 293 (3-5), 496-509. (doi:10.1016/j.jsv.2005.08.037).

Record type: Article

Abstract

The railway noise from conventional narrow-gauge lines in Japan mainly consists of rolling noise. A better understanding of rolling noise is required to reduce the noise at the wayside. In the past, in order to quantify wheel/rail noise, theoretical models, such as TWINS, have been developed, and measurements have been carried out with microphone arrays. The TWINS model has been validated in terms of noise and vibration, and used to predict the rail and wheel contributions to the total noise. Results from microphone arrays often give more prominence to the wheel than these predictions. In this paper, the TWINS model is applied to Japanese railways. Through comparisons of predictions with measurements for four types of wheel and one track type, it is shown that the TWINS model gives reliable predictions. Simulations are presented to represent a microphone array. These show that, in the frequency region where waves propagate freely along the rail, the microphone array can significantly underestimate the rail contribution to the noise.

This record has no associated files available for download.

More information

Published date: 2006

Identifiers

Local EPrints ID: 43425
URI: http://eprints.soton.ac.uk/id/eprint/43425
ISSN: 0022-460X
PURE UUID: 7e53a7d9-d1b6-49d3-b0d8-3a577f675883
ORCID for D.J. Thompson: ORCID iD orcid.org/0000-0002-7964-5906

Catalogue record

Date deposited: 24 Jan 2007
Last modified: 16 Mar 2024 02:54

Export record

Altmetrics

Contributors

Author: T. Kitagawa
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.

×