Identification of Failure Prediction Criteria Using Acoustic Emission Monitoring and Analysis of GFRP Bridge Deck Panels

Details

• Creators:
  Gostautas, Richard S.
• Corporate Creators:
  University of Kansas. Dept. of Civil, Environmental and Architectural Engineering
• Corporate Contributors:
  Kansas. Dept. of Transportation. Bureau of Materials & Research
• Subject/TRT Terms:
  • Acoustic emission
  • Bending stress
  • Bridge decks
  • Field tests
  • Fracture mechanics
  • Monitoring
  • Bridges and other structures
  • Design
  • Highways
  • I24: Design of Bridges and Retaining Walls
• Publication/ Report Number:
  K-TRAN: KU-02-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Kansas ; United States
• TRIS Online Accession Number:
  01076684
• Edition:
  Final Report August 2001 - January 2007
• Corporate Publisher:
  Kansas. Dept. of Transportation. Bureau of Materials & Research
• Abstract:
  A total of 6 full-scale glass fiber-reinforced polymer (GFRP) composite bridge deck specimens were tested to study the significance of using acoustic emission (AE) for monitoring and analysis of the structural integrity of the specimens during predetermined loading profile. The first two specimens varied in width and were loaded to failure and the last four specimens were the original specimens that were repaired after failure occurred using an FRP wrap. The objective of the project, through the use of AE monitoring and analysis, is to identify failure prediction criteria and/or a methodology that would provide a determination of the structural integrity of the in-service FRP bridge deck during field inspection. While no codes and standard exist for these types of specimens, current standards developed for FRP tanks and vessels were used as a base reference to determine if current standards could be adopted or if new or additional criteria need to be established.
• Format:
  PDF
• Funding:
  C1277
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/39507/dot_39507_DS1.pdf
• File Type:
  [PDF - 1.80 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:f56d61d6f3504a2394f696e07832c125105acd103234b2dedd0064a833c187d5