Browse by author
Lookup NU author(s): Dr David Lilley
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
An empirical study has been made to identify important features of sound levels generated within an underground section of a light railway. Measurements of sound pressure level were recorded as trains passed within a few metres of computer-controlled instrumentation during normal daytime operation. Peak values of sound pressure level were identified for each passing train and a method of compensating for train speed was investigated. Further measurements were taken of sound levels as two Metro trains were repeatedly driven through the same section of underground track at different nominal speeds during a night-time possession. Characteristics of sound levels produced by approaching and departing trains have been studied to identify any salient features that may be beneficial in developing a means of monitoring the condition of passing trains. No definitive relationship was identified between train speed and peak value of sound pressure level, although results indicated that higher sound exposure levels and duration when a passing train generates sound levels above a threshold value can be linked to train condition. Further development of the work is planned to provide an automated management tool for identifying trains in need of further inspection and maintenance. The ultimate aim is to improve the efficiency of scheduling for train maintenance and to satisfy environmental needs for keeping train-generated sound to minimum levels. © IMechE 1999.
Author(s): Lilley DM
Publication type: Article
Publication status: Published
Journal: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Year: 1999
Volume: 213
Issue: 4
Pages: 211-220
Print publication date: 01/01/1999
ISSN (print): 0954-4097
ISSN (electronic): 2041-3017
Publisher: Sage Publications Ltd.
URL: http://dx.doi.org/10.1243/0954409991531155
DOI: 10.1243/0954409991531155
Altmetrics provided by Altmetric
