3 papers
physics.class-ph2025
A strategy with reduced models dedicated to parametrized nonlinear strongly coupled thermo-poroelasticity problems
Elise Foulatier, David Néron, François Louf +1
This paper offers an approach to deal with parametrized nonlinear strongly coupled thermo-poroelasticity problems. The approach uses the LATIN-PGD method and extends previous work…
cs.CE2024
The LATIN-PGD methodology to nonlinear dynamics and quasi-brittle materials for future earthquake engineering applications
Sebastian Rodriguez, Pierre-Etienne Charbonnel, Pierre Ladevèze +1
This paper presents a first implementation of the LArge Time INcrement (LATIN) method along with the model reduction technique called Proper Generalized Decomposition (PGD) for sol…
cs.LG2024
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems
Victor Matray, Faisal Amlani, Frédéric Feyel +1
This work introduces a new approach for accelerating the numerical analysis of time-domain partial differential equations (PDEs) governing complex physical systems. The methodology…