Integration of Computer Imaging and Sensor Networks for Structural Health Monitoring: Case Study for Load Rating

Movable bridges are unique structures due to the complex interaction of the structural, mechanical and electrical systems. These mechanisms provide versatility to movable bridges; however, their intricate interrelation combined with the harsh environmental effects also produces some inherent drawbacks. Movable bridges are reported as experiencing significantly higher maintenance costs than regular fixed bridges, due to their special operational demands, structural designs and interaction of different systems. In this paper, a novel system for Structural Health Monitoring (SHM) of a movable bridge, with emphasis on load rating, is designed and implemented in the State of Florida. Video images are analyzed by means of computer vision techniques to detect and track vehicles crossing the bridge. Traditional sensor data is correlated with computer images to extract Unit Influence Lines (UIL) which are used as index for rating assessment. Based on UIL’s, moments on critical sections for the rating truck HL-93 are predicted and load rating is calculated continuously with neither need for load tests nor bridge closures to the traffic.


  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Photos; References; Tables;
  • Pagination: 15p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01151156
  • Record Type: Publication
  • Report/Paper Numbers: 10-2421
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:08AM