Using expert opinion to quantify accuracy and reliability of nondestructive evaluation on bridges.

Details

• Creators:
  Hesse, Alex ; Atadero, Rebecca ; Ozbek, Mehmet
• Corporate Creators:
  Colorado State University
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Bridges
  • Inspection
  • Nondestructive tests
  • Accuracy
  • Reliability
  • Delphi method
  • Evaluation
  • Literature reviews
  • Surveys
• Publication/ Report Number:
  MPC 15-288
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mountain Plains Consortium
• Abstract:
  Bridge inspection is an important phase in bridge management. In 2009, a joint American Society of Civil ; Engineers Structural Engineering Institute and AASHTO Ad-Hoc group was created to identify the issues ; in bridge safety and to study current bridge practices. This group recommended: “A more rational, risk-based approach to determining the appropriate inspection intervals for bridges is needed, as opposed to a ; set twenty-four month cycle for all bridges.” The committee also recommended a wider use of NDE ; methods. The difficulty in increasing the use of these NDE methods is the increased costs and time spent. ; One way to deal with this is to implement risk-based planning. Although to do this, the accuracy, ; reliability, bias, and cost of each test must be quantified. This study attempts to quantify these parameters ; for common bridge NDE methods. This was done through two methods. First, a literature review was ; performed to determine common NDE methods and data were found for these methods. Second, a Delphi ; method survey was conducted to develop a broader range of data that matches real life practices. All of ; the data were then analyzed and conclusions were drawn to quantify the various parameters for these ; NDE methods.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29497/dot_29497_DS1.pdf
• File Type:
  [PDF - 3.43 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:a615705964bb1d3667516c4fe876a79165e2fadaab72763cbf69011dbaa91b40