https://doi.org/10.1051/epjconf/202430206003
Complementary Finite Element and Monte-Carlo Methods to Solve Industrial Thermal Problems
1 EDF R&D, 6 Quai Watier, 78400 Chatou, France
2 LAPLACE, Université Paul Sabatier, 118 Route de Narbonne - 31062 Toulouse, France
3 Meso-Star, 4 rue du Général Giraud, 31200 Toulouse, France
* e-mail: christophe.peniguel@edf.fr, isabelle.rupp@edf.fr
** e-mail: richard.fournier@laplace.univ-tlse.fr, stephane.blanco@laplace.univ-tlse.fr
*** e-mail: vincent.eymet@meso-star.com, vincent.forest@meso-star.com, christophe.coustet@meso-star.com
Published online: 15 October 2024
This paper presents the integration of a Monte-Carlo solver inside SYRTHES, an open-source thermal code, originally based on finite elements method. Insensitive to both the geometric complexity of the model and the fineness of its discretization, this stochastic method is a good complementary option to simulate large configurations with specific locations of interest. Radiation, conduction and convection can be combined to solve thermal problems in complex geometries. The Monte-Carlo method is described before showing its integration in the code SYRTHES. Comparisons against results obtained thanks to finite elements and Monte-Carlo approaches or analytical solutions are presented. Finally, industrial cases illustrate the advantages of using these two complementary approaches.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
