Revisiting Preparation of Phase Space for Learning Path-Dependent Behavior via Deep Neural Networks

This technical note investigates the preparation of a phase space of two simple constitutive laws, von Mises (J2) and Drucker-Prager (DP) models, for deep neural networks with special attention to elastic and plastic data points. The phase space is referred to as a database describing the material behavior via data points instead of mathematical formulation. To examine the effect of the proportions of elastic and plastic data points on the …