Computational Aspects of Risk-Based Inspection Planning

The significant computational efforts re-quired to compute risk-based inspection plans founded on the Bayesian decision theory has hindered their appli-cation in the past. In this article, a computationally effi-cient method for the calculation of risk-based inspection (RBI) plans is presented, which overcomes the problem through the use of a generic approach. After an introduc-tion in RBI planning, focus is set on the computational aspects of the methodology. The derivation of inspection plans through interpolation in databases with predefined generic inspection plans is demonstrated and the accuracy of the methodology is investigated. Finally, an overview is given on some recent applications of the generic approach in practice, including the implementation in efficient soft-ware tools. 1