International Conference on Construction and Real Estate Management 2016
Construction Project Safety Risk Analysis Based on the Fuzzy Fault Tree and Binary Decision Diagram
Publication: ICCREM 2016: BIM Application and Off-Site Construction
ABSTRACT
Construction safety risk analysis can provide the necessary insights for accident prevention. The fault tree analysis (FTA), as a conventional risk assessment tool, has gained widespread acceptance among practitioners in various industries. However, the analysis process, especially in construction settings, entails several difficulties owing to the constraint of sufficient data. To give a reliable approximation, the linguistic assessment and expert confidence index method are employed to convert the imprecise probability of occurrence of basic events into triangular fuzzy numbers. Owning to a large number of basic elements contributing to system failure in construction setting, the binary decision diagram (BDD), as a symbolic approach, is employed to overcome limitations of the algorithms based on the FTA in terms of both accuracy and efficiency. In the paper, the fuzzy Boolean algebras are utilized to determine the probability of the top event and the fuzzy importance measure (FIM) of the basic event. The approach proposed was verified using a scaffolding collapse case as an illustration. The paper offers some advantages of allowing to linguistic assessment for risk events, and also efficiently treating the risk analysis with the BDD method. The approach proposed can further construction safety practices as a fuzzy decision tool.
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ACKNOWLEDGE
The research was supported by the Scientific Research Experiment Program for The Trunk Steams Embankment Engineering, Heilongjiang Province: research on the operational management system and mechanism for the Sanjiang governance engineering. The work described in this paper was also funded by the National “Twelfth Five-Year” Science & Technology Program (No. 2012BAJ19B03)”.
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Published In
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 1326 - 1337
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4
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© 2017 American Society of Civil Engineers.
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Published online: Aug 14, 2017
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