Article Dans Une Revue Advanced Modeling and Simulation in Engineering Sciences Année : 2025

A strategy with reduced models dedicated to parametrized nonlinear strongly coupled thermo-poroelasticity problems

Résumé

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 in multiphysics problems. Proper Generalized Decomposition (PGD) allows the building of independent reduced-order bases for each physics. This point is particularly appropriate for thermo-poroelasticity problems whose physics present different dynamics. In parametrized problems dealing with material variability, a new computation is initialized with the result of a previous simulation to speed up the computation times. As a first step, the solver is validated on a standard benchmark in thermo-poroelasticity. The solver shows good performance even in the nonlinear frame. Then, the approach for parametrized problems is addressed on an academic problem and a more complex one, which is part of an industrial process. The results show that the method is effective and less time-consuming than naive approaches.

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Dates et versions

hal-05219510 , version 1 (26-08-2025)
hal-05219510 , version 2 (07-11-2025)

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Élise Foulatier, David Néron, François Louf, Pierre-Alain Boucard. A strategy with reduced models dedicated to parametrized nonlinear strongly coupled thermo-poroelasticity problems. Advanced Modeling and Simulation in Engineering Sciences, 2025, 12 (1), pp.32. ⟨10.1186/s40323-025-00314-5⟩. ⟨hal-05219510v1⟩
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