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  • Design and implementation of a quantitative risk assessment software tool for Singapore’s road tunnels

    Author(s)
    Qu, Xiaobo
    Meng, Qiang
    Yuanita, Vivi
    Wong, Yoke Heng
    Griffith University Author(s)
    Qu, Xiaobo
    Year published
    2011
    Metadata
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    Abstract
    This paper presents an interesting approach to develop a quantitative risk assessment (QRA) software tool for road tunnels. It first introduces a QRA model for road tunnels, consisting of event trees, fault trees and consequence estimation models. The model is developed by taking into account the unique characteristics of Singapore road tunnels. The paper proceeds to describe design of the QRA software tool based on the QRA model by means of the object oriented design (OOD) method and eXtensible Markup Language (XML) technique. The XML files are used to store the numerous tree structures in the proposed model thus making the ...
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    This paper presents an interesting approach to develop a quantitative risk assessment (QRA) software tool for road tunnels. It first introduces a QRA model for road tunnels, consisting of event trees, fault trees and consequence estimation models. The model is developed by taking into account the unique characteristics of Singapore road tunnels. The paper proceeds to describe design of the QRA software tool based on the QRA model by means of the object oriented design (OOD) method and eXtensible Markup Language (XML) technique. The XML files are used to store the numerous tree structures in the proposed model thus making the programming much more efficiently and effectively. The QRA software tool is robust and flexible such that users can easily add or modify the event trees, fault trees and the consequence estimation models. An application to Singapore road tunnels has been carried out to assess the robustness and effectiveness of the QRA software tool.
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    Journal Title
    Expert Systems with Applications
    Volume
    38
    Issue
    11
    DOI
    https://doi.org/10.1016/j.eswa.2011.04.186
    Subject
    Mathematical sciences
    Information and computing sciences
    Engineering
    Transport engineering
    Publication URI
    http://hdl.handle.net/10072/44204
    Collection
    • Journal articles

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