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|Title:||A Bayesian Framework for the Quantitative Modelling Of the ENIQ Methodology for Qualification of Non-Destructive Testing|
|Authors:||GANDOSSI LUCA; SIMOLA Kaisa|
|Other Identifiers:||EUR 22675 EN|
|Type:||EUR - Scientific and Technical Research Reports|
|Abstract:||The European methodology for qualification of non-destructive testing, produced by the European Network for Inspection and Qualification (ENIQ), has been adopted as the basis of inspection qualifications for nuclear utilities in many European countries. According to this methodology, the inspection qualification is based on a combination of technical justification (TJ) and practical trials. The methodology is qualitative in nature, and it does not give explicit guidance on how the evidence from the technical justification and results from trials should be weighted. Recently, we have proposed a quantified approach to combine evidence from technical justifications and practical trials. A Bayesian statistical framework for the quantification process was introduced, and some examples of possibilities to combine technical justification and trial results were given. The underlying idea was to improve transparency in the qualification process, whilst producing at the same time estimates of probability of detection that could for instance be used in structural reliability evaluation and Risk-Informed In-Service Inspection. In the present work, we attempt to give a more detailed description of the approach and some guidelines regarding how a user (utility, qualification body, etc.) could tackle the problem of quantifying the outcome of a qualification exercise in practical terms.|
|JRC Institute:||Energy, Transport and Climate|
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