Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Knowledge from recent investigations on sloshing motion in a liquid pool with solid particles for severe accident analyses of sodium-cooled fast reactor

  • Xu, Ruicong (Sino-French Institute of Nuclear Engineering & Technology, Sun Yat-sen University Tang-Jia Wan) ;
  • Cheng, Songbai (Sino-French Institute of Nuclear Engineering & Technology, Sun Yat-sen University Tang-Jia Wan) ;
  • Li, Shuo (Sino-French Institute of Nuclear Engineering & Technology, Sun Yat-sen University Tang-Jia Wan) ;
  • Cheng, Hui (Sino-French Institute of Nuclear Engineering & Technology, Sun Yat-sen University Tang-Jia Wan)
  • Received : 2021.03.22
  • Accepted : 2021.08.17
  • Published : 2022.02.25
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Abstract

Investigations on the molten-pool sloshing behavior are of essential value for improving nuclear safety evaluation of Core Disruptive Accidents (CDA) that would be possibly encountered for Sodium-cooled Fast Reactors (SFR). This paper is aimed at synthesizing the knowledge from our recent studies on molten-pool sloshing behavior with solid particles conducted at the Sun Yat-sen University. To better visualize and clarify the mechanism and characteristics of sloshing induced by local Fuel-Coolant Interaction (FCI), experiments were performed with various parameters by injecting nitrogen gas into a 2-dimensional liquid pool with accumulated solid particles. It was confirmed that under different particle-bed conditions, three representative flow regimes (i.e. the bubble-impulsion dominant, transitional and bed-inertia dominant regimes) are identifiable. Aimed at predicting the regime transitions during sloshing process, a predictive empirical model along with a regime map was proposed on the basis of experiments using single-sized spherical solid particles, and then was extended for covering more complex particle conditions (e.g. non-spherical, mixed-sized and mixed-density spherical particle conditions). To obtain more comprehensive understandings and verify the applicability and reliability of the predictive model under more realistic conditions (e.g. large-scale 3-dimensional condition), further experimental and modeling studies are also being prepared under other more complicated actual conditions.

Keywords

Acknowledgement

The authors would like to express their gratitude to the financial support from research projects in China, including the Guangdong Provincial Science and Technology Plan Project (No. 2021A0505030026) and the Guangdong Basic and Applied Basic Research Foundation (No. 2021A1515010343).

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