Bivariate B-spline surfaces on the invariant domain provide non-separable hyperelastic energy models that are calibrated instantaneously via linear least squares from homogeneous deformation stresses.
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An adaptive database and iterative pattern recognition algorithm lets Material Fingerprinting discover arbitrary linear combinations of polyconvex isotropic and anisotropic hyperelastic features from experimental data.
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Data-adaptive spline surfaces for non-separable hyperelastic energy functions
Bivariate B-spline surfaces on the invariant domain provide non-separable hyperelastic energy models that are calibrated instantaneously via linear least squares from homogeneous deformation stresses.
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Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity
An adaptive database and iterative pattern recognition algorithm lets Material Fingerprinting discover arbitrary linear combinations of polyconvex isotropic and anisotropic hyperelastic features from experimental data.