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

Dindar, S; Kaewunruen, S; An, M; Gigante-Barrera, A

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.

Citation

of railway turnout systems. IOP Conference Series: Materials Science and Engineering, 245(II), 042020. https://doi.org/10.1088/1757-899X/245/4/042020

• Journal Article Type: Article
• Publication Date: Jan 1, 2017
• Deposit Date: Nov 9, 2018
• Publicly Available Date: Nov 9, 2018
• Journal: IOP Conference Series: Materials Science and Engineering
• Print ISSN: 1757-8981
• Electronic ISSN: 1757-899X
• Publisher: IOP Publishing
• Volume: 245
• Issue: II
• Pages: 042020
• DOI: https://doi.org/10.1088/1757-899X/245/4/042020
• Publisher URL: https://doi.org/10.1088/1757-899X/245/4/042020
• Additional Information: Funders : European Commission; Projects : RISEN: Rail Infrastructure Systems Engineering Network; Grant Number: H2020- MSCA-RISE Project No. 691135