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Probabilistic maintenance optimization for fatigue-critical components with constraint in repair access and logistics
Date Issued
2018-09-21
Date Available
2018-11-27T09:22:51Z
Abstract
There 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.
Sponsorship
European Commission Horizon 2020
Type of Material
Conference Publication
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Proceedings of the 14th International Conference on Probabilistic Safety Assessment and Management (PSAM14)
Conference Details
The 14th International Conference on Probabilistic Safety Assessment and Management (PSAM 14), Los Angeles, United States of America,
This item is made available under a Creative Commons License
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Zou_etal_2018_Probabilistic maintenance optimization for fatigue-critical components with constraint in repair access and logistics.pdf
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