Data transfers for nuclear reactor multiphysics studies using the MOOSE framework

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.

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Publication Details

Journal
Frontiers in Nuclear Engineering
Published
2025-07-25
DOI
https://doi.org/10.3389/fnuen.2025.1611173
Citations
3
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
14.98

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Data transfers for nuclear reactor multiphysics studies using the MOOSE framework

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3 citations
Frontiers in Nuclear Engineering
Nuclear reactor physics and engineering
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article

Data transfers for nuclear reactor multiphysics studies using the MOOSE framework

Derek Gaston, Alexander Lindsay, Zachary M. Prince, Guillaume Giudicelli, Lise Charlot, Stefano Terlizzi, April Novak, Logan Harbour, Fande Kong, Mahmoud Eltawila, Roy Stogner
article en
3 citations

Abstract

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.

Frontiers in Nuclear EngineeringVol. 4
Pennsylvania State University (US), University of Illinois Urbana-Champaign (US), Idaho National Laboratory (US), Community Frameworks (US), Department of Physics, Mathematics and Informatics (BY), Massachusetts Institute of Technology (US)
U.S. Department of Energy, Office of Nuclear Energy
Openalex Percentile: Top 2%
Nuclear reactor physics and engineering
14.98
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