An experimental validation of a statistical-based damage detection approach.

Details

• Creators:
  Phares, Brent M. ; Wipf, Terry J. ; Lu, Ping ; Greimann, Lowell ; Pohlkamp, Mitchell
• Corporate Creators:
  Bridge Engineering Center
• Corporate Contributors:
  Iowa. Dept. of Transportation
• Subject/TRT Terms:
  • Bridges
  • Structural health monitoring
  • Fatigue cracking
  • Trucks
  • Algorithms
  • Maintenance management
  • Detection and identification systems
• Publication/ Report Number:
  InTrans Project 08-336
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Iowa State University. Institute for Transportation
• Abstract:
  In this work, a previously-developed, statistical-based, damage-detection approach was validated for its ability to ; autonomously detect damage in bridges. The damage-detection approach uses statistical differences in the actual and ; predicted behavior of the bridge caused under a subset of ambient trucks. The predicted behavior is derived from a ; statistics-based model trained with field data from the undamaged bridge (not a finite element model). The differences ; between actual and predicted responses, called residuals, are then used to construct control charts, which compare ; undamaged and damaged structure data. ; Validation of the damage-detection approach was achieved by using sacrificial specimens that were mounted to the bridge ; and exposed to ambient traffic loads and which simulated actual damage-sensitive locations. Different damage types and ; levels were introduced to the sacrificial specimens to study the sensitivity and applicability. ; The damage-detection algorithm was able to identify damage, but it also had a high false-positive rate. An evaluation of ; the sub-components of the damage-detection methodology and methods was completed for the purpose of improving the ; approach. Several of the underlying assumptions within the algorithm were being violated, which was the source of the ; false-positives. Furthermore, the lack of an automatic evaluation process was thought to potentially be an impediment to ; widespread use. Recommendations for the improvement of the methodology were developed and preliminarily evaluated. ; These recommendations are believed to improve the efficacy of the damage-detection approach.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26134/dot_26134_DS1.pdf
• File Type:
  [PDF - 6.53 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:c120b337f34295dce6d3b7fee9f78819828380fa19f0706b7e2616a2e0b7a279c1ea491bf4f5066f3912b2bb51922fb09b106197e070691faeafbd54d7ca0888