Polynomial chaos in evaluating failure probability: a comparative study.
DOI10.21136/AM.2018.0335-17zbMath1499.65013OpenAlexW2903285412WikidataQ128844023 ScholiaQ128844023MaRDI QIDQ667911
Publication date: 1 March 2019
Published in: Applications of Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.21136/am.2018.0335-17
Monte Carlo methodreliability analysisuncertainty quantificationpolynomial chaos expansionstochastic Galerkin methodstochastic collocation methodprobability of failureregression methodsafety margin
Design of statistical experiments (62K99) Applications of statistics in engineering and industry; control charts (62P30) General second-order stochastic processes (60G12) Numerical solutions to stochastic differential and integral equations (65C30)
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