An integrated probabilistic approach for optimum maintenance of fatigue-critical structural components

DC FieldValueLanguage
dc.contributor.authorZou, Guang-
dc.contributor.authorGonzález, Arturo-
dc.contributor.authorBanisoleiman, Kian-
dc.contributor.authorFaber, Michael Havbro-
dc.date.accessioned2020-08-25T14:03:22Z-
dc.date.available2020-08-25T14:03:22Z-
dc.date.copyright2019 Elsevieren_US
dc.date.issued2019-11-
dc.identifier.citationMarine Structuresen_US
dc.identifier.issn0951-8339-
dc.identifier.urihttp://hdl.handle.net/10197/11499-
dc.description.abstractInspection and maintenance are important means to validate or recover reliability of metallic structural systems, which usually degrade over time due to fatigue, corrosion and other mechanisms. These inspection and maintenance actions generally account for a large part of lifetime costs, which necessitate an efficient maintenance strategy to satisfy the requirements on reliability and costs. Most often, an optimum maintenance/repair crack size criterion is derived by probabilistic cost-benefit analysis, e.g. by minimization of expected lifetime costs, which are assessed based on cost models. This paper proposes an integrated approach to derive an optimum range for repair (crack size) criterion using both reliability-based and cost-based optimization. It is found that an optimum repair criterion exists which leads to the maximum lifetime fatigue reliability. A smaller repair criterion than the reliability-optimum do not lead to a higher lifetime fatigue reliability but leads to higher lifetime costs. Hence, a limit for repair criterion is defined by the reliability-optimum criterion, which can be obtained without cost models. The reliability-optimum criterion is found to be smaller than the cost-optimum criterion and thus an optimum range between the reliability-optimum and cost-optimum criterion is established.en_US
dc.description.sponsorshipEuropean Commission Horizon 2020en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsThis is the author’s version of a work that was accepted for publication in Marine Structures. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Marine Structures (68 (2019)) https://doi.org/10.1016/j.marstruc.2019.102649en_US
dc.subjectStructural integrity managementen_US
dc.subjectProbabilistic approachen_US
dc.subjectStructural reliabilityen_US
dc.subjectReliability-based optimizationen_US
dc.subjectMaintenanceen_US
dc.subjectLife cycle approachen_US
dc.titleAn integrated probabilistic approach for optimum maintenance of fatigue-critical structural componentsen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactotherarturo.gonzalez@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume68en_US
dc.identifier.startpage1en_US
dc.identifier.endpage22en_US
dc.citation.otherArticle number: 102649en_US
dc.identifier.doi10.1016/j.marstruc.2019.102649-
dc.neeo.contributorZou|Guang|aut|-
dc.neeo.contributorGonzález|Arturo|aut|-
dc.neeo.contributorBanisoleiman|Kian|aut|-
dc.neeo.contributorFaber|Michael Havbro|aut|-
dc.date.updated2020-01-07T12:44:28Z-
dc.identifier.grantid642453: MSCA-ITN-2014-ETN-
dc.identifier.grantid642453-
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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