Complementary Finite Element and Monte-Carlo Methods to Solve Industrial Thermal Problems
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...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_06003.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 2100-014X |