A neural-network constitutive model with built-in thermodynamic consistency, convexity, and normality represents anisotropic damage via a second-order damage tensor and structural tensors.
A review on data-driven constitutive laws for solids,
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A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids
A neural-network constitutive model with built-in thermodynamic consistency, convexity, and normality represents anisotropic damage via a second-order damage tensor and structural tensors.