| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 05006 | |
| Number of page(s) | 11 | |
| Section | Multi-Physics Simulations | |
| DOI | https://doi.org/10.1051/epjconf/202430205006 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430205006
Data transfers for full core heterogeneous reactor high-fidelity multiphysics studies
1 Idaho National Laboratory, 1955 Fremont Ave., Idaho Falls, ID 83415, USA
2 Massachusetts Institute of Technology, 77 Massachusetts Avenue Cambridge, MA 02139, USA
* e-mail: guillaume.giudicelli@gmail.com
Published online: 15 October 2024
Multiphysics simulations for nuclear reactor analysis are usually performed by resorting to operator splitting and fixed point iterations between single-physics solvers. This enables the separate solution of each physics, such as neutronics, fuel performance, and thermal hydraulics, on meshes tailored to the requirements of the respective numerical discretizations of the equations. As the equations are coupled, several fields must be transferred between singlephysics solves. Projecting fields between meshes while preserving order of accuracy, conservation properties, and mapping non-overlapping geometries is a complex endeavour. This conference paper will present the transfers as implemented in MOOSE, which can handle arbitrary meshes, arbitrary mappings, conservation of integral quantities, and are made to scale with distributed simulations on both ends of the transfers. Their adequacy for advanced nuclear reactor multiphysics coupling is shown through examples and numerical studies.
© The Authors, published by EDP Sciences, 2024
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