Derailment-based Fault Tree Analysis on Risk Management of Railway Turnout Systems

World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium - WMCAUS

土木建筑工程

Dindar, Serdar^1,2 ; Kaewunruen, Sakdirat^1,2 ; An, Min^3 ; Gigante-Barrera, Angel^1

Department of Civil Engineering, School of Engineering, University of Birmingham, Birmingham

B15 2TT, United Kingdom^1

Birmingham Centre for Railway Research and Education, Gisbert Kapp, University of Birmingham, Birmingham

B15 2TT, United Kingdom^2

School of the Built Environment, Maxwell Building, University of Salford, Manchester

M5 4WT, United Kingdom^3

关键词: Catastrophic event;    Contributing factor;    Failure mechanism;    High potential;    Multiple factors;    Railway infrastructure;    Railway operations;    Railway turnout systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/245/4/042020/pdf
DOI  :  10.1088/1757-899X/245/4/042020

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

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.