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:
  Algorithms Bridges Detection And Identification Systems Fatigue Cracking Maintenance Management Structural Health Monitoring Trucks
• 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.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:c120b337f34295dce6d3b7fee9f78819828380fa19f0706b7e2616a2e0b7a279c1ea491bf4f5066f3912b2bb51922fb09b106197e070691faeafbd54d7ca0888
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26134/dot_26134_DS1.pdf
• File Type:
  [PDF - 6.53 MB ]