Advanced Technologies and Methodology for Automated Ultrasonic Testing Systems Quantification

The overall objective of the program is to reduce the uncertainty of Automated Ultrasonic Testing (AUT) detection and sizing accuracy with the goal of dramatically improving the predicted reliability of pipelines in the early design stage. This will be accomplished by the following manner: 1) Develop a methodology for quantification of AUT systems, 2) Advance and quantify AUT systems image-capture capabilities, 3) Quantify the performance of multiple AUT systems and establish a guidance document, 4) Implement the quantification methodology in field tests and guidance document in Reliability Based Design and Assessment (RBDA) standards. The deliverables for this program will include a methodology to quantify imaging capabilities and AUT systems, probability of detection (POD) and sizing accuracy curves for multiple representative systems, guidance for AUT capabilities and ECA/strain based design approach applicability, and technical justification for modifications of the current requirements for AUT quantification trails demanded by the global practices of majors companies and codes.


  • English


  • Status: Completed
  • Contract Numbers:


  • Sponsor Organizations:

    Pipeline and Hazardous Materials Safety Administration

    U.S. Department of Transportation
    East Building, 2nd Floor 1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Licari, Frank

  • Performing Organizations:

    Edison Welding Institute

    1250 Arthur E Adams Drive
    Columbus, OH  United States  43221-3560
  • Principal Investigators:

    Spencer, Roger

  • Start Date: 20070701
  • Expected Completion Date: 0
  • Actual Completion Date: 20110324
  • Source Data: RiP Project 35227

Subject/Index Terms

Filing Info

  • Accession Number: 01492386
  • Record Type: Research project
  • Source Agency: Department of Transportation
  • Contract Numbers: DTPH56-07-T-000002
  • Files: RiP
  • Created Date: Sep 7 2013 1:00AM