Safety decision analysis of collapse accident based on “accident tree–analytic hierarchy process”

IF 2.4 Q2 ENGINEERING, MECHANICAL
Xiaoyu Ren, Zhaoli Du, Jinrong Wang, Fen Yang, Tian Su, Weiqing Wei
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引用次数: 0

Abstract

Abstract To reduce the hazards of collapse accidents in the construction process and to ensure that the lives, health, and property of construction workers are protected, this study used the theory of safety system engineering to identify the hazards of collapse accidents, analyze the hazards, predict the consequences, evaluate the systemic risks, and evaluate the effects and improve them. At the same time, the risk factors of collapse were evaluated qualitatively and quantitatively by using the analysis methods of fault tree analysis (FTA) and the analytic hierarchy process (AHP). Finally, according to the evaluation results, the main factors causing collapse accidents were found; this provided a reliable and practical basis for the prevention of collapse accidents. Then, according to the decisive factors, corresponding measures were taken in advance to achieve the aim of preventing and controlling collapse accidents. The results show that equipment maintenance, material inspection, and construction site safety management play an important role in preventing collapse accidents.
基于“事故树-层次分析法”的坍塌事故安全决策分析
摘要为了降低建筑施工过程中倒塌事故的危害,保障建筑施工人员的生命、健康和财产安全,本研究运用安全系统工程理论,对倒塌事故的危害进行识别、危害分析、后果预测、系统性风险评估,并对影响进行评价和改进。同时,采用故障树分析(FTA)和层次分析法(AHP)对倒塌危险因素进行定性和定量评价。最后,根据评价结果找出了导致坍塌事故的主要因素;这为防止塌方事故的发生提供了可靠和实用的依据。然后,根据影响坍塌事故的决定性因素,提前采取相应措施,达到预防和控制坍塌事故的目的。结果表明,设备维护、材料检验和施工现场安全管理在预防倒塌事故中发挥着重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
3.60%
发文量
49
审稿时长
44 weeks
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
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