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Data-driven turbulence measurement, modeling, and prediction in a six-by-six fuel rod bundle in nuclear energy systems | Synapse
March 3, 2026
Data-driven turbulence measurement, modeling, and prediction in a six-by-six fuel rod bundle in nuclear energy systems
GM
Guangyun Min
Sun Yat-sen University
JL
Junyong Liu
Sun Yat-sen University
XS
Xiuzhong Shen
University of Fukui
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Key Points
Enhanced accuracy in turbulence prediction improves fuel rod performance, leading to more efficient energy generation.
Key evidence indicates a reduction in turbulence uncertainty by 25%, facilitating better system control and safety.
Assessment using simulation techniques across a six-by-six fuel rod bundle reveals critical insights into flow dynamics.
Findings suggest potential upgrades for nuclear energy systems, highlighting the need for advanced turbulence modeling.
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Cite This Study
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Min et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c71c6e9836116a25549
https://doi.org/https://doi.org/10.1016/j.engappai.2026.113945