The use of PISC data to support probabilistic safety analysis
The satisfactory application of probabilistic safety assessment methods calls for validated distributions of input parameters. Such distributions are functions of the applied nondestructive evaluation (NDE) method, the character and location of the defects, and the nature of the component under examination. The Programme for the Inspection of Steel Components (PISC) database could be used to evaluate the probabilities of both nondetection and incorrect evaluation with respect to the PISC assemblies, and to suggest potential correlations of flaw parameters, component types, and inspection methods as functions of these probabilities of nondetection and incorrect evaluation. This paper highlights some examples based upon the results of the PISC III exercise.
Bibliographic Reference: Paper presented : Workshop on Probabilistic Structural Integrity Analysis and its relationship to Deterministic Analysis, Stockholm (SE), 28 February - 1 March 1996
Availability: Available from (1) as Paper EN 39911 ORA
Record Number: 199610922 / Last updated on: 1996-09-16
Original language: en
Available languages: en