The αδ method for modelling expert judgement and combination of non-destructive testing tools in risk-based inspection context: application to marine structures
Résumé
Owners of civil infrastructure base their maintenance decision schemes mainly
on both structural integrity assessment and consequence analysis. Some inputs come from
information collected by inspections with non-destructive or destructive tools.
Uncertainties and errors of measurement can lead to bad decisions but are rarely
integrated into the decision process. Currently, Risk Based Inspection (RBI) provides the
basic concepts for optimizing the maintenance plans of existing structures while insuring
satisfactory safety and availability of the structure during its service life. It lies both on
reliability computations and probabilistic modeling of inspection results. This last point
leads to introduce the Probability of Detection, and the Probability of False Alarms that
are usually considered as parameters in Risk Based Inspection. However, when data from
inter-calibration campaigns are available, the whole Receiver Operating Characteristics
curves should be used. Then the comparison of Non destructive Testing tools in terms of
cost/benefit is difficult as well as the method for optimizing a given technique. This paper
presents the αβ method that gives a new performance indicator in this context. It is
applied to the field of inspection of harbor structures.
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