Data transfers for full core heterogeneous reactor high-fidelity multiphysics studies

Guillaume Giudicelli, Fande Kong, Roy Stogner, Logan Harbour, Derek Gaston, Stefano Terlizzi, Zachary Prince

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number05006
JournalEPJ Web of Conferences
Volume302
DOIs
StatePublished - Oct 15 2024
Event2024 Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo, SNA + MC 2024 - Paris, France
Duration: Oct 20 2024Oct 24 2024

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy

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