4 papers
A Hyper-Reduced Neural Network-Augmented Semi-smooth Newton Method for Nonlinear Parametric Variational Inequalities
Sofiane Ezzehi, Virginie Ehrlacher, Guillaume Enchéry +1
We propose a model order reduction framework for nonlinear parametrized variational inequalities arising in computational mechanics. The high-dimensional model is written in mixed…
Model order reduction for parametrized variational inequalities: application to crowd motion
Giulia Sambataro, Virginie Ehrlacher
This work investigates model order reduction for time-dependent parametrized variational inequalities, with a focus on discrete contact problems. As a prototypical example, we cons…
Optimal morphings for model-order reduction for poorly reducible problems with geometric variability
Abbas Kabalan, Fabien Casenave, Felipe Bordeu +2
We propose a new model-order reduction framework to poorly reducible problems arising from parametric partial differential equations with geometric variability. In such problems, t…
Elasticity-based morphing technique and application to reduced-order modeling
Abbas Kabalan, Fabien Casenave, Felipe Bordeu +2
The aim of this article is to introduce a new methodology for constructing morphings between shapes that have identical topology. The morphings are obtained by deforming a referenc…