Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with Neural Networks

Stefan Hildebrand, Sandra Klinge

An extendable, efficient and explainable Machine Learning approach is proposed to represent cyclic plasticity and replace conventional material models based on the Radial Return Ma…