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A sampling-based approach to identifying optimal inspection and repair strategies for offshore jacket structures

  • Identifying optimal inspection and repair strategies for offshore jacket structures is a challenging task. We pre-sent an approach, which is based on recent developments in the field of risk-based operation and maintenance planning at the structural system level. The approach utilizes heuristics to define inspection and repair strate-gies at the system level and to reduce the search space of possible strategies. For each defined strategy, the expected service life cost of inspection, repair and failure is evaluated based on simulated inspection and re-pair histories. Subset simulation is applied to compute the conditional repair and failure probabilities required for this analysis. It also forms the basis for simulating inspection and repair histories. The strategy that mini-mizes the expected service life cost is the optimal one in the set of pre-selected strategies. The underlying condition and performance model accounts for the stochastic dependence among the deterioration states ofIdentifying optimal inspection and repair strategies for offshore jacket structures is a challenging task. We pre-sent an approach, which is based on recent developments in the field of risk-based operation and maintenance planning at the structural system level. The approach utilizes heuristics to define inspection and repair strate-gies at the system level and to reduce the search space of possible strategies. For each defined strategy, the expected service life cost of inspection, repair and failure is evaluated based on simulated inspection and re-pair histories. Subset simulation is applied to compute the conditional repair and failure probabilities required for this analysis. It also forms the basis for simulating inspection and repair histories. The strategy that mini-mizes the expected service life cost is the optimal one in the set of pre-selected strategies. The underlying condition and performance model accounts for the stochastic dependence among the deterioration states of the different structural elements and the structural redundancy. The approach is demonstrated in a case study considering a jacket-type frame. In this study, we essentially vary the inspection interval, the minimum num-ber of inspected components and the target reliability, and identify the combination that minimizes the ex-pected total service life cost.zeige mehrzeige weniger

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Metadaten
Autoren/innen:Ronald Schneider, Andreas Rogge, S. Thöns, E. Bismut, D. Straub
Persönliche Herausgeber/innen:Robby Caspeele, Luc Taerwe, Dan M. Frangopol
Dokumenttyp:Beitrag zu einem Tagungsband
Veröffentlichungsform:Verlagsliteratur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):Proceedings of the sixth international symposium on life-cycle civil engineering (IALCCE 2018)
Jahr der Erstveröffentlichung:2019
Organisationseinheit der BAM:7 Bauwerkssicherheit
7 Bauwerkssicherheit / 7.2 Ingenieurbau
Verlag:Taylor & Francis Group
Verlagsort:London
Erste Seite:1081
Letzte Seite:1088
DDC-Klassifikation:Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Angewandte Physik
Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurbau
Freie Schlagwörter:Fatigue; Inspection planning; Offshore steel structures; Reliability; Risk
Themenfelder/Aktivitätsfelder der BAM:Energie
Infrastruktur
Infrastruktur / Sicherheit und Lebensdauer von Bauwerken
Energie / Erneuerbare Energien
Veranstaltung:The sixth international symposium on life-cycle civil engineering (IALCCE 2018)
Veranstaltungsort:Ghent, Belgien
Beginndatum der Veranstaltung:28.10.2018
Enddatum der Veranstaltung:31.10.2018
URL:http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000471120401043
ISBN:978-1-138-62633-1
ISBN:978-1-315-22891-4
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:05.11.2018
Referierte Publikation:Ja
Datum der Eintragung als referierte Publikation:04.07.2019