TY - JOUR
T1 - Data transfers for full core heterogeneous reactor high-fidelity multiphysics studies
AU - Giudicelli, Guillaume
AU - Kong, Fande
AU - Stogner, Roy
AU - Harbour, Logan
AU - Gaston, Derek
AU - Terlizzi, Stefano
AU - Prince, Zachary
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences.
PY - 2024/10/15
Y1 - 2024/10/15
N2 - 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 single-physics 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.
AB - 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 single-physics 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.
UR - https://www.scopus.com/pages/publications/85211810279
UR - https://www.scopus.com/inward/citedby.url?scp=85211810279&partnerID=8YFLogxK
U2 - 10.1051/epjconf/202430205006
DO - 10.1051/epjconf/202430205006
M3 - Conference article
AN - SCOPUS:85211810279
SN - 2101-6275
VL - 302
JO - EPJ Web of Conferences
JF - EPJ Web of Conferences
M1 - 05006
T2 - 2024 Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo, SNA + MC 2024
Y2 - 20 October 2024 through 24 October 2024
ER -