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Analysis of road tunnel fire risk based on Fuzzy Fault Tree method

机译:基于模糊故障树法的公路隧道火灾风险分析

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On the basis of system safety engineering theory and fire science, a model of tunnel fire named Fuzzy Fault Tree Analysis (FFTA) Model has been built according to the uncertainty of tunnel fire and the subjectivity of traditional fire risk analysis method. Using triangular fuzzy theory, the fuzzy probabilities of basic events and top events based on experts cognition level. Then the relationship degrees of influence factors was compared by their fuzzy classifications. The result shows that fire sources and fuels are the main causes of tunnel fires, and the failure of fire extinguishing equipments is in the second place. In order to reduce the risk of tunnel fire, the factors of tunnel fire and their logical relationships should be analyzed comprehensively, the possibility of tunnel fire should be monitored dynamically, and fire protection strategies should be established, which is significant to the safe operation and sustainable development of transportation.
机译:基于系统安全工程理论和消防科学,结合隧道火灾的不确定性和传统火灾风险分析方法的主观性,建立了隧道火灾模型模糊故障树分析(FFTA)模型。利用三角模糊理论,根据专家的认知水平,对基本事件和重大事件的模糊概率进行了研究。然后通过影响因素的模糊分类比较影响因素之间的关系程度。结果表明,火源和燃料是造成隧道火灾的主要原因,其次是灭火设备的故障。为了降低隧道火灾的风险,应综合分析隧道火灾的影响因素及其逻辑关系,对隧道火灾的可能性进行动态监测,并制定防火策略,这对安全运行和安全管理具有重要意义。运输业的可持续发展。

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