Reliability Analysis of an Offshore Structure:A Case Study II

For an offshore structure in the North Sea it is assumed that information from measurements and inspections is available. As illustrations measurements of the significant wave height and the marine growth and different inspection and repair results are considered. It is shown how the reliability est...

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Bibliographic Details
Main Authors: Sørensen, John Dalsgaard, Rackwitz, R., Thoft-Christensen, Palle, Lebas, G.
Other Authors: Guedes Soares, C., Murotsu, Y., Pittaluga, A., Spencer, J.S., Stahl, B.
Format: Other Non-Article Part of Journal/Newspaper
Language:English
Published: American Society of Mechanical Engineers 1992
Subjects:
Online Access:https://vbn.aau.dk/da/publications/4a2e77d0-a86a-11da-8341-000ea68e967b
Description
Summary:For an offshore structure in the North Sea it is assumed that information from measurements and inspections is available. As illustrations measurements of the significant wave height and the marine growth and different inspection and repair results are considered. It is shown how the reliability estimates of the structure can be updated using Bayesian techniques. By minimizing the total expected costs including inspection, repair and failure costs during the lifetime an optimal inspection and repair strategy can be determined. The decision variables are the number of inspections, the time intervals between inspections and the inspection qualities. A parameter study is performed and an updated inspection plan is determined after the first inspection has taken place. For an offshore structure in the North Sea it is assumed that information from measurements and inspections is available. As illustrations measurements of the significant wave height and the marine growth and different inspection and repair results are considered. It is shown how the reliability estimates of the structure can be updated using Bayesian techniques. By minimizing the total expected costs including inspection, repair and failure costs during the lifetime an optimal inspection and repair strategy can be determined. The decision variables are the number of inspections, the time intervals between inspections and the inspection qualities. A parameter study is performed and an updated inspection plan is determined after the first inspection has taken place.