Improvements to Pipeline Assessment Methods and Models to Reduce Variance

This project will develop, validate, and demonstrate improved assessment methods and models to lower the variance of model outputs when assessing the impact of interactive threats. This project will provide general knowledge, models, and methods pertaining to the assessment of overlapping defects in natural gas pipelines not currently available. The project deliverables will be directly applicable to fitness-for-service standards. Extensive use will be made of multi-physics modeling to quantify the uncertainties associated with material property variations, interacting threats, overlapping defects and the various non-destructive evaluation methods available to the operators. Bayesian methods will be used to merge multiple data streams to reduce uncertainties associated with pipeline assessment. Limited full-scale pipe testing will be conducted to validate simulation results and material testing will be conducted to validate the advanced failure propagation models employed in the finite element method analyses.

    Language

    • English

    Project

    • Status: Active
    • Funding: $1619065
    • 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:

      Smith, Robert

    • Performing Organizations:

      Gas Technology Institute

      1700 South Mount Prospect Road
      Des Plaines, IL  United States  60018
    • Principal Investigators:

      Lever, Ernest

    • Start Date: 20180801
    • Expected Completion Date: 20210731
    • Actual Completion Date: 0
    • USDOT Program: Pipeline Safety Research
    • Subprogram: Pipeline Safety

    Subject/Index Terms

    Filing Info

    • Accession Number: 01677549
    • Record Type: Research project
    • Source Agency: Gas Technology Institute
    • Files: RiP
    • Created Date: Aug 8 2018 11:38AM