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A generalised probabilistic framework is proposed for reliability assessment and uncertainty quantification under a lack of data.
In this paper, a hybrid approach called as MSD approach has been proposed for reliability analysis and to study the dynamic behavior of systems.
In this paper, a new model is proposed for reliability optimization of series-parallel systems, which makes possible the use of non-homogeneous components in each subsystem.
A first-order reliability method coupled with finite difference methods is proposed for reliability estimate dealing with the complicated implicit limit state function for hull girder ultimate strength assessment.
In this paper a stochastic spline fictitious boundary element method (SFBEM) is proposed for reliability analysis of plane elasticity problems in conjunction with the advanced first-order-second-moment (AFOSM) method.
A method coupled with the finite element analysis is proposed for reliability assessment where a finite difference method combined with an improved first-order reliability algorithm that omits the non-important random variables but retains sufficient accuracy was developed for reliability estimation.
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A new method is proposed for reliability-based topology optimization of truss structures with random geometric imperfections and material variability.
The first-order reliability method (FORM) is proposed for the reliability analysis and summarised in the paper, with comparisons made throughout the paper with Monte Carlo simulation.
In [24], a three-state weather model is proposed for the reliability assessment.
In the literature, several solutions have been proposed for the reliability of smart environments [1 16].
Thereafter, a weighted approach based on the direct MCS is proposed for slope reliability updating.
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Justyna Jupowicz-Kozak
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