Volume 1, Issue 6 (November 1973)

    Probabilistic Updating of Flaw Information


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    The prediction and control of flaws in welds occupy an important role in design against fatigue and fracture failure. However, the present NDT devices can detect only a fraction of the flaws and they do not give the actual size of flaws detected. Using Bayes Theorem, a framework is proposed whereby distributions of flaw size and density are updated from NDT inspection data and the level of repair. The concept is equivalent to a filtering process where the detectability function of the NDT device acts as the filter. The information derived will help planning of NDT inspection programs and consistent code specifications.

    Author Information:

    Tang, WH
    Assistant professor of civil engineering, University of Illinois, Urbana, Ill.

    Stock #: JTE10051J

    ISSN: 0090-3973

    DOI: 10.1520/JTE10051J

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    Title Probabilistic Updating of Flaw Information
    Symposium , 0000-00-00
    Committee E08