A PCE-based multiscale framework for the characterization of uncertainties in complex systems

DOI10.1007/s00466-017-1502-4zbMath1470.74019OpenAlexW2768015971WikidataQ113327319 ScholiaQ113327319MaRDI QIDQ1753923

Jacob Fish, Roger G. Ghanem, Will R. Rodgers, Loujaine Mehrez, Venkat Aitharaju

Publication date: 29 May 2018

Published in: Computational Mechanics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00466-017-1502-4

zbMATH Keywords

cross-scale dependencemultiscale polynomial chaosmultiscale stochastic modelingnon-crimp fabric composite

Mathematics Subject Classification ID

Composite and mixture properties (74E30) Random structure in solid mechanics (74E35) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

Related Items (3)

Multiscale uncertainty quantification with arbitrary polynomial chaos ⋮ A Riemannian stochastic representation for quantifying model uncertainties in molecular dynamics simulations ⋮ Probabilistic learning and updating of a digital twin for composite material systems

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