Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties

DOI10.1016/j.cma.2019.02.004zbMath1441.74295OpenAlexW2913860281WikidataQ128373599 ScholiaQ128373599MaRDI QIDQ2174139

Guangyao Li, Yanjun Ding, Rohit R. Deokar, Chensen Ding, Stéphane Pierre Alain Bordas, Kumar K. Tamma, Xiang Yang Cui

Publication date: 20 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2019.02.004

zbMATH Keywords

stochastic isogeometric analysishigh-dimensional and independent material uncertaintiesmodel order reduction via proper orthogonal decompositionMonte Carlo simulation (MCS)

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs (65M75) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

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