9 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 9 cited
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…
cond-mat.soft2021
Quasistatic kinetic avalanches and self-organized criticality in deviatorically loaded granular media
Jordi Baró, Mehdi Pouragha, Richard Wan +1
The behavior of granular media under quasi-static loading has recently been shown to attain a stable evolution state corresponding to a manifold in the space of micromechanical var…
cs.CE2020★ 1 cited
Multiscale Modeling of Elasto-Plasticity in Heterogeneous Geomaterials Based on Continuum Micromechanics
Mahdad Eghbalian, Mehdi Pouragha, Richard Wan
In this paper, we investigate some micromechanical aspects of elasto-plasticity in heterogeneous geomaterials. The aim is to upscale the elasto-plastic behavior for a representativ…