Soumianarayanan Vijayaraghavan: Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs

Machine Learning Seminar presentation

Topic: Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs

Speaker: Soumianarayanan Vijayaraghavan, Faculty of Science, Technology and Medicine; University of Luxembourg

Time: Wednesday, 2021.10.06, 10:00 CET

How to join: Please contact Jakub Lengiewicz

Abstract:

Compared to conventional projection-based model-order-reduction, its neural-network acceleration has the advantage that the online simulations are equation-free, meaning that no system of equations needs to be solved iteratively. Consequently, no stiffness matrix needs to be constructed and the stress update needs to be computed only once per increment. In this talk, I will present a recurrent neural network, that we developed to accelerate a projection-based model-order-reduction of the elastoplastic mechanical behavior of an RVE. The resulting speedup is substantial, whilst all microstructural information is preserved.

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