Nick N. Vlassis

Computational Mechanics & Artificial Intelligence Lab

Nick Napoleon Vlassis is an Assistant Professor in the Department of Mechanical & Aerospace Engineering at Rutgers University.

Google Scholar

Geometric Deep Learning for Computational Mechanics Part II: Graph Embedding for Interpretable Multiscale Plasticity

Vlassis, Sun, CMAME, 2022.
We use geometric deep learning on graph data representations of finite element solutions to connect nonlinear dimensional reduction techniques with plasticity models. We use geometric learning-based encoding on graphs to embed rich time-history data onto a low-dimensional Euclidean space to predict the evolution of plastic deformation, and a corresponding decoder converts these low-dimensional internal variables back into a weighted graph to observe and analyze the dominating topological features of plastic deformation. This approach addresses the challenges of interpreting internal variables, lack of direct measurement, and weak physical underpinning in classical plasticity models.

Read more →