A comparison of stochastic and data-driven FEM approaches to problems with insufficient material data

DOI10.1016/j.cma.2019.03.009zbMath1441.74253OpenAlexW2922043894WikidataQ128251772 ScholiaQ128251772MaRDI QIDQ1988000

Tim Fabian Korzeniowski, Kerstin Weinberg

Publication date: 16 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.2019.03.009

zbMATH Keywords

finite element methodFEMstochastic finite element methodmaterial uncertaintydata drivensfem

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) 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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• A GPU domain decomposition solution for spectral stochastic finite element method
• Data-driven computational mechanics
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• Optimal Uncertainty Quantification

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