Probabilistic maintenance optimization for fatigue-critical components with constraint in repair access and logistics

DC FieldValueLanguage
dc.contributor.authorZou, Guang-
dc.contributor.authorBanisoleiman, Kian-
dc.contributor.authorGonzález, Arturo-
dc.date.accessioned2018-11-27T09:22:51Z-
dc.date.available2018-11-27T09:22:51Z-
dc.date.issued2018-09-21-
dc.identifier.urihttp://hdl.handle.net/10197/9570-
dc.descriptionThe 14th International Conference on Probabilistic Safety Assessment and Management (PSAM 14), Los Angeles, United States of America,en_US
dc.description.abstractThere is a need to consider repair delay and incurred failure risk in maintenance optimization for some fatigue-critical structural details in marine and offshore structures. For example, in some cases, immediate repair may not be feasible due to weather, geographical location and/or technical restrictions. Also, immediate repair may be much more expensive than well-organized delayed repair. Moreover, detected cracks may sometimes be left unattended until more cracks are found and repaired together. This paper investigates a probabilistic maintenance optimization method allowing for repair delay and the incurred failure risk. The maintenance strategy considering repair delay is optimized based on uncertainty modeling, reliability and life-cycle cost analysis. Special features of the maintenance strategy and its impacts on fatigue reliability and life-cycle costs are discussed on an illustrative example. A method to quantify the risk incurred by repair delay is proposed. It is found that repair delay can result in a significant decrease in fatigue reliability if inspection is scheduled in the late stage of service life. The benefits of the maintenance strategy to fatigue reliability and life-cycle costs are very sensitive to the inspection method. The failure risk incurred by repair delay would be the predominant risk in the life cycle.en_US
dc.description.sponsorshipEuropean Commission Horizon 2020en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 14th International Conference on Probabilistic Safety Assessment and Management (PSAM14)en_US
dc.subjectIntegrity managementen_US
dc.subjectProbabilistic methodsen_US
dc.subjectRisk-based inspectionen_US
dc.subjectMaintenance optimizationen_US
dc.subjectDecision analysisen_US
dc.titleProbabilistic maintenance optimization for fatigue-critical components with constraint in repair access and logisticsen_US
dc.typeConference Publicationen_US
dc.internal.authorcontactotherarturo.gonzalez@ucd.ieen_US
dc.internal.webversionshttp://www.psam14.org/-
dc.statusPeer revieweden_US
dc.neeo.contributorZou|Guang|aut|-
dc.neeo.contributorBanisoleiman|Kian|aut|-
dc.neeo.contributorGonzález|Arturo|aut|-
dc.date.updated2018-10-11T13:12:06Z-
dc.identifier.grantid642453 MSCA-ITN-2014-ETN-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
TRUSS-ITN Research Collection
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