Reliability Analysis of Large Structural Systems

Næss, Arvid; Leira, Bernt J.; Batsevych, Oleksandr

doi:10.3850/978-981-08-7619-7_p047

Cited by 6 publications

(9 citation statements)

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“…This approach to system performance characterization is inspired from the structural reliability principles [26][27][28][29][30][31][32]; a huge potential exists to optimise the techno-economic analysis of biodiesel production plants by extending these principles. Note that while structural reliability analysis is mainly concerned with the effects of random forces and mechanical properties on structural performance, the chemical process reliability analysis is focused on random process conditions (e.g.…”

Section: Stochastic Economic Evaluationmentioning

confidence: 99%

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Stochastic techno-economic considerations in biodiesel production

Abubakar

Sriramula

Renton

2015

Sustainable Energy Technologies and Assessments

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Section: Stochastic Economic Evaluationmentioning

confidence: 99%

“…Note that the LSF is set up to constrain the objective function in order to realise a chosen performance target. Extensive literature on MCS method is given elsewhere [26,[30][31][32].…”

Section: Monte Carlo Simulation (Mcs)mentioning

confidence: 99%

Stochastic techno-economic considerations in biodiesel production

Abubakar

Sriramula

Renton

2015

Sustainable Energy Technologies and Assessments

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“…Other examples of applications of Monte Carlo methods in structural reliability analysis are presented in e.g. Naess et al [25], Naess et al [26], Zhang et al [39], Juncher Jensen et al [20].…”

Section: Introductionmentioning

confidence: 97%

Alternative environmental contours for structural reliability analysis

2015

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“…[1] to small structural systems and later in Ref. [2] to a complex system involving a large number of limit state functions and basic random variables. It was shown that the method provides good estimates for the system failure probability with low to moderate computational cost.…”

Section: Introductionmentioning

confidence: 99%

System Reliability Analysis by Monte Carlo Based Method and Finite Element Structural Models

Gaspar

Næss

Leira

et al. 2014

Journal of Offshore Mechanics and Arctic Engineering

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In principle, the reliability of complex structural systems can be accurately predicted by Monte Carlo simulation. This method has several attractive features for structural system reliability, the most important being that the system failure criterion is usually relatively easy to check almost irrespective of the complexity of the system. However, the computa tional cost involved in the simulation may be prohibitive for highly reliable structural systems. In this paper a new Monte Carlo based method recently proposed for system reliability estimation that aims at reducing the computational cost is applied. It has been shown that the method provides good estimates for the system failure probability with reduced computational cost. In a numerical example the usefulness and efficiency of the method to estimate the reliability of a system represented by a nonlinear finite element structural model is presented. To reduce the computational cost involved in the nonlinear finite element analysis the method is combined with a response surface model.

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Reliability Analysis of Large Structural Systems

Cited by 6 publications

References 0 publications

Stochastic techno-economic considerations in biodiesel production

Stochastic techno-economic considerations in biodiesel production

Alternative environmental contours for structural reliability analysis

System Reliability Analysis by Monte Carlo Based Method and Finite Element Structural Models

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