Identification of Causal Factors of Bridge Failure through Fault-Tree Analysis and Intelligent Sensor Solutions

Bridges are the lifelines of the United States surface transportation network and support the growth of our nation’s economy; however, rapid economic growth over that past few decades has stretched the design capacity of many bridges in the United States. In recent years, there have been several incidents of bridge collapse, which calls 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 and identifies potential structural health monitoring(SHM)-based intelligent sensors as countermeasures. This research concluded that integrating SHM sensors with Intelligent Transportation Systems (ITS) is a cost-effective way to monitor nation’s transportation infrastructure for both structural and operational problems .

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 13p
  • Monograph Title: 18th ITS World Congress, Orlando, 2011. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01484688
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 20 2013 8:04PM