Derailment-based fault tree analysis on risk management of railway turnout systems

Dindar, S, Kaewunruen, S, An, M ORCID: https://orcid.org/0000-0002-1069-7492 and Gigante-Barrera, A 2017, 'Derailment-based fault tree analysis on risk management of railway turnout systems' , IOP Conference Series: Materials Science and Engineering, 245 (II) , 042020.

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Abstract

Railway turnouts are fundamental mechanical infrastructures, which allow a rolling stock to divert one direction to another. As those are of a large number of engineering subsystems, e.g. track, signalling, earthworks, these particular sub-systems are expected to induce high potential through various kind of failure mechanisms. This could be a cause of any catastrophic event. A derailment, one of undesirable events in railway operation, often results, albeit rare occurs, in damaging to rolling stock, railway infrastructure and disrupt service, and has the potential to cause casualties and even loss of lives. As a result, it is quite significant that a well-designed risk analysis is performed to create awareness of hazards and to identify what parts of the systems may be at risk. This study will focus on all types of environment based failures as a result of numerous contributing factors noted officially as accident reports. This risk analysis is designed to help industry to minimise the occurrence of accidents at railway turnouts. The methodology of the study relies on accurate assessment of derailment likelihood, and is based on statistical multiple factors-integrated accident rate analysis. The study is prepared in the way of establishing product risks and faults, and showing the impact of potential process by Boolean algebra.

Item Type: Article
Schools: Schools > School of the Built Environment
Journal or Publication Title: IOP Conference Series: Materials Science and Engineering
Publisher: IOP Science
ISSN: 1757-8981
Funders: European Commission
Depositing User: Professor Min An
Date Deposited: 09 Nov 2018 14:26
Last Modified: 29 Mar 2019 10:15
URI: http://usir.salford.ac.uk/id/eprint/48896

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