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Fatigue inspection and maintenance optimization: A comparison of information value, life cycle cost and reliability based approaches
Date Issued
2021-01-15
Date Available
2021-05-11T15:08:46Z
Abstract
Fatigue cracks increase structural failure risk and timely maintenance is very important. Maintenance planning is often formulated as a probabilistic optimization problem, considering uncertainties in structural and load modelling, material properties, damage measurements, etc. A decision rule or strategy, e.g. condition based maintenance (CBM), needs to be set up, and then an optimal maintenance criterion or threshold is derived via solving the optimization problem. This paper develops a probabilistic maintenance optimization approach exploiting value of information (VoI) computation and Bayesian decision optimization. The VoI based approach explicitly quantifies added values from future inspections, and gives an optimal decision (or strategy) by direct modelling decision alternatives and evaluating their expected outcomes, rather than a pre-defined strategy. A comparative study on VoI, life cycle cost (LCC) and reliability based optimization approaches is conducted. It is shown that the VoI based approach takes all available maintenance strategies into account (both with and without involving inspections), and can reliably yield optimal maintenance strategies, whether the VoI is larger than or equal to zero. When the VoI is equal to zero, LCC and reliability based CBM optimization can lead to suboptimal maintenance strategies. The differences in the approaches are illustrated on fatigue-sensitive components in a marine structure.
Sponsorship
European Commission Horizon 2020
Type of Material
Journal Article
Publisher
Elsevier
Journal
Ocean Engineering
Volume
220
Copyright (Published Version)
2020 Elsevier
Language
English
Status of Item
Peer reviewed
ISSN
0029-8018
This item is made available under a Creative Commons License
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Name
Zou_etal_2021_Fatigue inspection and maintenance optimization A comparison of information value, life cycle cost and reliability based approaches.pdf
Size
1.49 MB
Format
Adobe PDF
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