A distributed parallel computing-based CFD analysis of plate-type fuel assemblies in CARR reactors

Fine flow and heat transfer characteristics are critical to nuclear reactor safety. However, a comprehensive CFD calculation of the entire reactor core requires substantial computing resources, restricting the research domain's scope. To address this issue, we propose a Distributed Parallel (DP...

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Bibliographic Details
Published in:International communications in heat and mass transfer Vol. 153; p. 107335
Main Authors: Yin, Xinli, Chen, Guangliang, Qian, Hao, Li, Lei, Su, Shaomin, Jiang, Hongwei, Zhang, Hanqi
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.04.2024
Subjects:
CFD
Distributed parallel computing
Plate-type fuel
Scheme design
Thermal hydraulic
CFD
Scheme design
Distributed parallel computing
Plate-type fuel
Thermal hydraulic
ISSN:0735-1933, 1879-0178
Online Access:Get full text
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Summary:Fine flow and heat transfer characteristics are critical to nuclear reactor safety. However, a comprehensive CFD calculation of the entire reactor core requires substantial computing resources, restricting the research domain's scope. To address this issue, we propose a Distributed Parallel (DP) computing scheme, tailored specifically for reactor cores using plate-type fuel assemblies. This study focuses on the thermal-hydraulic calculation of the large domain of a reactor core utilizing plate-type fuel assembly, based on the Computational Fluid Dynamics (CFD) method. This innovative solution enables the completion of extensive domain CFD calculations using modestly equipped personal workstations (8 cores, 128G RAM), which traditionally would require supercomputing platforms. To verify the distributed-parallel computing technique, it is successfully applied to all standard, full-length fuel assemblies in the China Advanced Research Reactor (CARR). In the result analysis, it was observed that detailed results could be obtained with reduced computational resources, demonstrating a significant breakthrough for CFD engineering analysis.
ISSN:0735-1933
1879-0178
DOI:10.1016/j.icheatmasstransfer.2024.107335