A physics-informed deep neural network for surrogate modeling in classical elasto-plasticity

Mahdad Eghbalian, Mehdi Pouragha, Richard Wan

In this work, we present a deep neural network architecture that can efficiently approximate classical elasto-plastic constitutive relations. The network is enriched with crucial p…