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dc.contributor.authorMendoza Espinosa, Jorge
dc.contributor.authorPaglia, Jacopo
dc.contributor.authorEidsvik, Jo
dc.contributor.authorKohler, Jochen
dc.date.accessioned2022-10-24T08:06:25Z
dc.date.available2022-10-24T08:06:25Z
dc.date.created2021-01-18T14:06:00Z
dc.date.issued2021
dc.identifier.issn1748-006X
dc.identifier.urihttps://hdl.handle.net/11250/3027776
dc.description.abstractMooring systems that are used to secure position keeping of floating offshore oil and gas facilities are subject to deterioration processes, such as pitting corrosion and fatigue crack growth. Past investigations show that pitting corrosion has a significant effect on reducing the fatigue resistance of mooring chain links. In situ inspections are essential to monitor the development of the corrosion condition of the components of mooring systems and ensure sufficient structural safety. Unfortunately, offshore inspection campaigns require large financial commitments. As a consequence, inspecting all structural components is unfeasible. This article proposes to use value of information analysis to rank identified inspection alternatives. A Bayesian Network is proposed to model the statistical dependence of the corrosion deterioration among chain links at different locations of the mooring system. This is used to efficiently update the estimation of the corrosion condition of the complete mooring system given evidence from local observations and to reassess the structural reliability of the system. A case study is presented to illustrate the application of the framework.en_US
dc.language.isoengen_US
dc.publisherSAGEen_US
dc.titleValue of information of in-situ inspections of mooring linesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.journalProceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliabilityen_US
dc.identifier.doi10.1177/1748006X2098740
dc.identifier.cristin1873315
dc.relation.projectNorges forskningsråd: 280705en_US
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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