Stochastic isotropic hyperelastic materials: constitutive calibration and model selection.

ABSTRACT: Biological and synthetic materials often exhibit intrinsic variability in their elastic responses under large strains, owing to microstructural inhomogeneity or when elastic data are extracted from viscoelastic mechanical tests. For these materials, although hyperelastic models calibrated to mean data are useful, stochastic representations accounting also for data dispersion carry extra information about the variability of material properties found in practical applications. We combine finite elasticity and information theories to construct homogeneous isotropic hyperelastic models with random field parameters calibrated to discrete mean values and standard deviations of either the stress-strain function or the nonlinear shear modulus, which is a function of the deformation, estimated from

SUBMITTER: Mihai LA 

PROVIDER: S-EPMC5897763 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature