Fault-Tree Model for Risk Assessment of Bridge Failure: Case Study for Segmental Box Girder Bridges
Fault-Tree Model for Risk Assessment of Bridge Failure: Case Study for Segmental Box Girder Bridges
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DOI：
10.1061/(asce)is.1943-555x.0000129
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发表时间：
2013-09
影响因子：
3.3
通讯作者：
Caitlyn Davis-McDaniel;M. Chowdhury;W. Pang;Kakan C. Dey
中科院分区：
文献类型：
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作者：
Caitlyn Davis-McDaniel;M. Chowdhury;W. Pang;Kakan C. Dey
在过去的几十年里，许多桥梁作为地面交通基础设施可靠性和功能的重要组成部分，其设计能力和使用状况受到交通量快速增长和维护资金匮乏的挑战。许多桥梁倒塌事件迫切需要开发一种系统方法来评估失效风险并识别可能导致桥梁倒塌的始发事件。本文提出了通过故障树建模对一种常见类型的桥梁（称为节段混凝土箱梁桥）进行桥梁故障风险分析的过程。该过程应用于南卡罗来纳州的一座节段箱梁桥，结果发现可以有效识别桥梁失效的原因并估计总体失效风险。然而，为了全面评估桥梁失效的概率，故障树分析最好与当前的风险评估方法结合使用，例如目视检查和结构健康监测传感器。
Over the past few decades, the design capacity and service condition of many bridges, which are vital components of the surface transportation infrastructure reliability and functionality, have been challenged by rapid traffic growth and scarce maintenance funds. Numerous incidents of bridge collapse call for an urgent need to develop a systematic method of assessing the failure risks and identifying the initiating events that can lead to a bridge collapse. This paper presents a process of bridge failure risk analysis through fault-tree modeling for a common type of bridge known as segmental concrete box girder bridge. The process was applied to a segmental box girder bridge in South Carolina and was found to effectively identify causal factors of bridge failure and estimate overall failure risk. However, to comprehensively assess the probability of bridge failure, fault-tree analysis can best be used in combination with current risk assessment methods, such as visual inspections and structural health monitoring sensors.