Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites

DOI10.1016/j.cma.2018.12.036zbMath1440.74073OpenAlexW2908619734WikidataQ128631856 ScholiaQ128631856MaRDI QIDQ1987820

Johann Guilleminot, Athanasios Iliopoulos, Christian Soize, B. Staber, John G. Michopoulos

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://hal-upec-upem.archives-ouvertes.fr/hal-02052852/file/publi-2019-CMAME-staber-guillemeinot-michopoulos-lliopoulos-preprint.pdf

zbMATH Keywords

identificationstochastic modelingrandom fieldhyperelasticitycompositeuncertainty quantification

Mathematics Subject Classification ID

Computational methods for problems pertaining to probability theory (60-08) Nonlinear elasticity (74B20) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

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Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: stochastic modeling, identification, and propagation ⋮ Concurrent multiscale simulations of nonlinear random materials using probabilistic learning ⋮ Likely cavitation and radial motion of stochastic elastic spheres ⋮ Likely striping in stochastic nematic elastomers

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