A holistic approach to risk-based decision on inspection and design of fatigue-sensitive structures

Title: A holistic approach to risk-based decision on inspection and design of fatigue-sensitive structures
Authors: Zou, GuangFaber, Michael HavbroGonzález, ArturoBanisoleiman, Kian
Permanent link: http://hdl.handle.net/10197/12149
Date: 15-Oct-2020
Online since: 2021-05-11T15:20:32Z
Abstract: Design and operation of large welded structural systems (e.g. ship and offshore structures) are challenging due to numerous fatigue-sensitive details, limited available budgets, uncertainties in fatigue damages, inspection & maintenance activities, etc. Traditionally, fatigue design and maintenance planning have been almost disconnected, which restricts coherent decision-making and optimum safety management. Structural design optimization, without quantitatively incorporating the effects of operational maintenance, can hardly result in a structural plan that is optimum in terms of life cycle costs. Also, if the design of a structure is not optimum, maintenance optimization alone cannot really yield a optimum maintenance plan. As operational inspections and maintenance are essential, there are merits to utilize their effects on structural design and meanwhile optimize them at the initial design stage when impacts of decisions are greater. This paper proposes a risk-based approach to holistic decision-making enveloping decisions and uncertainties affecting design, inspection and maintenance of fatigue-sensitive components. Decisions variables in structural scantling and operational maintenance are obtained holistically at the structural design stage by risk-based optimization, based on quantitative assessment of the effectiveness of both structural scantling and maintenance interventions. Optimum fatigue reliability level is also obtained, informed by the effects of uncertainties and failure consequences. The method captures combined benefits of structural scantling and operational maintenance to fatigue reliability and risk mitigation and achieves optimum resource utilization and life cycle cost reduction. Advantages of the proposed method have been demonstrated via a numerical example, in comparison to alternative methods.
Funding Details: European Commission Horizon 2020
Type of material: Journal Article
Publisher: Elsevier
Journal: Engineering Structures
Volume: 221
Copyright (published version): 2020 Elsevier
Keywords: Structural managementProbabilistic optimizationRisk analysisRisk-based inspectionLife cycle engineeringDecision analysis
DOI: 10.1016/j.engstruct.2020.110949
Language: en
Status of Item: Peer reviewed
ISSN: 0141-0296
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
TRUSS-ITN Research Collection

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