A STRAIN-BASED FIBER OPTIC BRIDGE STRUCTURAL HEALTH MONITORING SYSTEM
Technological advancements in sensing, computing and networking within the last decade have resulted in the evolution of long-term Structural Health Monitoring (SHM), which allows for non-interruptive remote monitoring and evaluation of bridges or bridge components for extended periods of time. In 2005, the Bridge Engineering Center (BEC) at Iowa State University developed and deployed a remote strain- based SHM system, which continuously monitors the performance of a fracture critical steel girder bridge under ambient traffic loads. The system was designed to detect both sudden damage and progressive deterioration. Strain data collected by Fiber Bragg Grating (FBG) sensors are utilized to construct a base-line model that is based upon an extreme- matching distribution methodology. Structural responses deviating from the base-line distribution are considered as an indication of damage or degradation. Techniques for identifying detailed truck information (weight, axle configuration, geometry, etc.) using the SHM system sensing data are currently being investigated to improve the assessment of damage or degradation. In this paper, the hardware components of the SHM system are described and some brief performance data are presented. The relevant autonomous data analysis procedure, results and ongoing efforts in estimating the truck geometry/type, weight and velocity are also described.
P.Lu J.D. Doornink B.M. Phares T.J. Wipf
Bridge Engineering Center, Iowa State University T.Y. Lin International
国际会议
长沙
英文
988-994
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）