होम
एक्सप्लोर
nav.journalClub
ट्रेंडिंग
और
synapse
⌘+K
भाषा
हिन्दी
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
See all
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.
Mark Helpful
Like
Save
Bookmark
Relay
Share
Mark Helpful
Like
Save
Bookmark
Relay
Share
Cite This Study
Copy
Min et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c71c6e9836116a25549
https://doi.org/https://doi.org/10.1016/j.engappai.2026.113945