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

Title: An integrated probabilistic approach for optimum maintenance of fatigue-critical structural components
Authors: Zou, GuangGonzález, ArturoBanisoleiman, KianFaber, Michael Havbro
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Date: Nov-2019
Online since: 2020-08-25T14:03:22Z
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.
Funding Details: 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
Keywords: Structural integrity managementProbabilistic approachStructural reliabilityReliability-based optimizationMaintenanceLife cycle approach
DOI: 10.1016/j.marstruc.2019.102649
Language: en
Status of Item: Peer reviewed
ISSN: 0951-8339
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
TRUSS-ITN Research Collection

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