A probabilistic approach for joint optimization of fatigue design, inspection and maintenance

Title: A probabilistic approach for joint optimization of fatigue design, inspection and maintenance
Authors: Zou, Guang
Banisoleiman, Kian
González, Arturo
Faber, Michael Havbro
Permanent link: http://hdl.handle.net/10197/9556
Date: 10-Jun-2018
Online since: 2018-11-20T14:20:03Z
Abstract: This paper addresses challenges in fatigue management of marine structural assets with a holistically approach, by jointly considering fatigue design, inspection and maintenance decisions, whilst taking into account sources of uncertainties affecting life cycle performance. A risk-informed and holistic approach is proposed for jointly optimizing fatigue design, inspection and maintenance based on the same fatigue deterioration model. The optimization parameters are fatigue design factor (FDF) and inspection intervals, while the objective is to minimize expected life cycle costs (LCC). The framework is to guide design process as well as to formulate optimal maintenance strategies. The proposed approach is exemplified for the marine industry through a fatigue-prone detail in a ship structure to obtain the life cycle optimal management solution that achieves a best compromise between structural safety and life cycle costs.
Funding Details: European Commission Horizon 2020
Type of material: Conference Publication
Keywords: Integrity managementRisk based inspectionMaintenance optimizationUncertainty managementProbabilistic design optimizationDecision analysisLife cycle engineering
Other versions: http://www.isope.org/
Language: en
Status of Item: Peer reviewed
Conference Details: The Twenty-eighth (2018) International Ocean and Polar Engineering Conference, Sapporo, Japan, 10-15 June 2018
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
TRUSS-ITN Research Collection

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