Approximations in Inspection Planning

Publication EFSB00

Authors

Svend E. Engelund, Michael H. Faber, John D. Sørensen and Allan Bloch

Abstract

Planning of inspections of civil engineering structures may be performed within the framework of Bayesian decision analysis. The effort involved in a full Bayesian decision analysis is relatively large. Therefore, the actual inspection planning is usually performed using a number of approximations. One of the more important of these approximations is the assumption that all inspections will reveal no defects. Using this approximation the optimal inspection plan may be determined on the basis of conditional probabilities, i.e. the probability of failure given no defects have been found by the inspection. In this paper the quality of this approximation is investigated. The inspection planning is formulated both as a full Bayesian decision problem and on the basis of the assumption that the inspection will reveal no defects.

Published in/by

Proceedings PMC2000, 8th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability, Notre Dame, Indianapolis USA, July 23-26, 2000.