华南理工大学学报(自然科学版) ›› 2019, Vol. 47 ›› Issue (6): 108-118.doi: 10.12141/j.issn.1000-565X.180575

• 交通运输工程 • 上一篇    下一篇

车辆火灾作用下桥梁风险概率评估方法

张晓栋 马如进 陈艾荣   

  1. 同济大学 桥梁工程系,上海 200092
  • 收稿日期:2018-11-21 修回日期:2019-01-20 出版日期:2019-06-25 发布日期:2019-05-05
  • 通信作者: 马如进(1978-),男,博士,副研究员,博士生导师,主要从事桥梁养护管理理论、桥梁造型、计算机视觉研究. E-mail:rjma@tongji.edu.cn
  • 作者简介:张晓栋(1986-),男,博士生,主要从事桥梁事故鉴定研究. E-mail:394554680@ qq. com
  • 基金资助:
    贵州省重大科技专项(黔科合重大专项字[2016]3013 号)

Evaluation Method of Bridge Risk Probability in Vehicle Fire Accidents

ZHANG Xiaodong MA Rujin CHEN Airong   

  1. Department of Bridge Engineering,Tongji University,Shanghai 200092,China 
  • Received:2018-11-21 Revised:2019-01-20 Online:2019-06-25 Published:2019-05-05
  • Contact: 马如进(1978-),男,博士,副研究员,博士生导师,主要从事桥梁养护管理理论、桥梁造型、计算机视觉研究. E-mail:rjma@tongji.edu.cn
  • About author:张晓栋(1986-),男,博士生,主要从事桥梁事故鉴定研究. E-mail:394554680@ qq. com
  • Supported by:
    Supported by the Science and Technology Major Project of Guizhou Province([2016]3013) 

摘要: 基于易损性分析及危险性分析,提出了桥梁在车辆火灾作用下风险概率的数值 计算方法. 依据车辆火灾事故的统计数据,利用最大熵原理估计出了最大热释放速率的概 率密度函数. 提出了基于 RSM-MCS 的桥梁构件易损性分析方法,并通过对结构体系、构 件相关性及体系损伤准则的进一步研究给出了结构体系易损性的分析方法. 以一座简支 梁桥为例,利用该方法对不同损伤等级下的风险概率进行了计算分析. 结果表明:利用文 中方法可以对桥梁的抗火性能进行有效评价.

关键词: 火灾, 风险概率, 易损性, 最大熵原理

Abstract: Based on the vulnerability analysis and the hazard analysis,a numerical calculation method for risk probability of bridge exposed to fires caused by vehicles was developed. According to the statistical data of vehicle fire accidents,the probability density function of maxim heat release rate was estimated using the principle of maxi- mum entropy. A vulnerability analysis method of bridge member based on RSM-MCS was proposed,and a vulner- ability analysis method of structural system was given by the research about structural system,correlation and dam- age criterion of system. The risk probability of a simply supported beam bridge under fires caused by vehicles was provided to illustrate the method. The results show that the suggested method can effectively evaluate the fire resist- ance of a bridge.

Key words: fire, risk probability, vulnerability, maximum entropy principle

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