TY - JOUR
T1 - Data transfers for nuclear reactor multiphysics studies using the MOOSE framework
AU - Giudicelli, Guillaume L.
AU - Kong, Fande
AU - Stogner, Roy
AU - Harbour, Logan
AU - Gaston, Derek
AU - Lindsay, Alexander
AU - Prince, Zachary
AU - Charlot, Lise
AU - Terlizzi, Stefano
AU - Eltawila, Mahmoud
AU - Novak, April
N1 - Publisher Copyright:
Copyright © This work is authored in part by Guillaume L. Giudicelli, Fande Kong, Roy Stogner, Logan Harbour, Derek Gaston, Alexander Lindsay, Zachary Prince, Lise Charlot, Stefano Terlizzi, Mahmoud Eltawila and April Novak, © 2025 Battelle Energy Alliance, LLC.
PY - 2025
Y1 - 2025
N2 - High fidelity simulations of nuclear systems generally require a multi-dimensional representation of the system. Advanced nuclear reactor cores are governed by multiple physical phenomena which should be all be resolved, and the coupling of these physics would also need to be resolved spatially in a high-fidelity approach, while lower fidelity may leverage integrated quantities for the coupling instead. Performing a spatially resolved multiphysics simulation can be done on a single mesh with a single coupled numerical system, but this requires catering to each equations’ time and spatial discretization needs. Instead, each physics, usually neutronics, thermal hydraulics and fuel performance, are solved individually with the discretization they require, and the equations are coupled by transferring fields between each solver. In our experience coupling applications within the MOOSE framework, mostly for advanced nuclear reactor analysis, there are several challenges to this approach, from non-conservation problems with dissimilar meshes, to losses in order of spatial accuracy. This paper presents the field transfer capabilities implemented in MOOSE, and numerous technical details such as mapping heuristics, conservation techniques and parallel algorithms. Examples are drawn from nuclear systems analysis cases to illustrate the techniques.
AB - High fidelity simulations of nuclear systems generally require a multi-dimensional representation of the system. Advanced nuclear reactor cores are governed by multiple physical phenomena which should be all be resolved, and the coupling of these physics would also need to be resolved spatially in a high-fidelity approach, while lower fidelity may leverage integrated quantities for the coupling instead. Performing a spatially resolved multiphysics simulation can be done on a single mesh with a single coupled numerical system, but this requires catering to each equations’ time and spatial discretization needs. Instead, each physics, usually neutronics, thermal hydraulics and fuel performance, are solved individually with the discretization they require, and the equations are coupled by transferring fields between each solver. In our experience coupling applications within the MOOSE framework, mostly for advanced nuclear reactor analysis, there are several challenges to this approach, from non-conservation problems with dissimilar meshes, to losses in order of spatial accuracy. This paper presents the field transfer capabilities implemented in MOOSE, and numerous technical details such as mapping heuristics, conservation techniques and parallel algorithms. Examples are drawn from nuclear systems analysis cases to illustrate the techniques.
UR - https://www.scopus.com/pages/publications/105012986812
UR - https://www.scopus.com/pages/publications/105012986812#tab=citedBy
U2 - 10.3389/fnuen.2025.1611173
DO - 10.3389/fnuen.2025.1611173
M3 - Article
AN - SCOPUS:105012986812
SN - 2813-3412
VL - 4
JO - Frontiers in Nuclear Engineering
JF - Frontiers in Nuclear Engineering
M1 - 1611173
ER -