| Issue |
ESAIM: ProcS
Volume 81, 2025
CEMRACS 2023 - Scientific Machine Learning
|
|
|---|---|---|
| Page(s) | 77 - 103 | |
| DOI | https://doi.org/10.1051/proc/202581077 | |
| Published online | 10 October 2025 | |
Analysis and optimization of a liquid-vapor thermohydraulic model
1
IRMA CNRS, Inria Tonus, Strasbourg
2
EDF R&D, Chatou
Abstract
This work presents a simplified model of compressible multiphase fluid flow in a heated porous medium. We first introduce the model and its numerical approximation using a linearized implicit finite volume scheme. We then propose a technique to accelerate the implicit scheme through a machine learning approach.
Résumé
Ce travail présente un modèle simplifié d’écoulement de fluide multiphasique compressible dans un milieu poreux chauffant. Nous présentons d’abord le modèle et son approximation numérique par un schéma de volumes finis implicite. Nous proposons ensuite une technique d’accélération du schéma implicite par une approche d’apprentissage automatique.
© EDP Sciences, SMAI 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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