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An integrated probabilistic approach for optimum maintenance of fatigue-critical structural components
Date Issued
November 2019
Date Available
25T14:03:22Z August 2020
Abstract
Inspection 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.
Sponsorship
European Commission Horizon 2020
Type of Material
Journal Article
Publisher
Elsevier
Journal
Marine Structures
Volume
68
Start Page
1
End Page
22
Copyright (Published Version)
2019 Elsevier
Language
English
Status of Item
Peer reviewed
ISSN
0951-8339
This item is made available under a Creative Commons License
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Zou_etal_2019_An integrated probabilistic approach for optimum maintenance of fatigue-critical structural components.pdf
Size
795.2 KB
Format
Owning collection
Scopus© citations
10
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