DOAJ Open Access 2025

Data transfers for nuclear reactor multiphysics studies using the MOOSE framework

Guillaume L. Giudicelli Guillaume L. Giudicelli Fande Kong Roy Stogner Logan Harbour +7 lainnya

Abstrak

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.

Penulis (12)

G

Guillaume L. Giudicelli

G

Guillaume L. Giudicelli

F

Fande Kong

R

Roy Stogner

L

Logan Harbour

D

Derek Gaston

A

Alexander Lindsay

Z

Zachary Prince

L

Lise Charlot

S

Stefano Terlizzi

M

Mahmoud Eltawila

A

April Novak

Format Sitasi

Giudicelli, G.L., Giudicelli, G.L., Kong, F., Stogner, R., Harbour, L., Gaston, D. et al. (2025). Data transfers for nuclear reactor multiphysics studies using the MOOSE framework. https://doi.org/10.3389/fnuen.2025.1611173

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Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.3389/fnuen.2025.1611173
Akses
Open Access ✓