Probabilistic Fatigue Assessment of Welded Joints

Shetty, N K

doi:10.1007/978-94-011-5614-1_5

Cited by 2 publications

(2 citation statements)

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“…It is generally acknowledged that uncertainties come from both S-N data and Miner's rule. Uncertainties in fatigue failure criterion are discussed by [26,32,33]. The use of a bias of 1.0 and coefficient of variation (COV) of 0.3 are suggested for covering modelling error caused by Miner's rule [26].…”

Section: Fatigue Reliability Analysismentioning

confidence: 99%

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

Zou

Faber

González

et al. 2020

Engineering Structures

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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 yield a really optimum maintenance plan. As operational inspections and maintenance are essential, there are merits to utilize their effects to structural design and meanwhile optimize them at the initial design stage when impacts of decisions are greater. This paper proposes a riskbased 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.

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Section: Fatigue Reliability Analysismentioning

confidence: 99%

“…Herein the sum of inspection costs and repair costs are called maintenance costs (Equation ( 32)). Total structural investments , given by Equation (33), is defined as the sum of design (and construction) costs and maintenance costs . Note that in this paper, life cycle costs are evaluated against the same time length, i.e.…”

Section: Life Cycle Cost Analysismentioning

confidence: 99%