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Numerical simulation of a toroidal single-phase natural circulation loop with a k-kL-ω transitional turbulence model

  • Yiwa Geng (Institute of Nuclear and New Energy Technology (INET), Tsinghua University) ;
  • Xiongbin Liu (Institute of Nuclear and New Energy Technology (INET), Tsinghua University) ;
  • Xiaotian Li (Institute of Nuclear and New Energy Technology (INET), Tsinghua University) ;
  • Yajun Zhang (Institute of Nuclear and New Energy Technology (INET), Tsinghua University)
  • Received : 2023.04.17
  • Accepted : 2023.09.23
  • Published : 2024.01.25

Abstract

The wall friction correlations of oscillatory natural circulation loops are highly loop-specific, making it difficult to perform 1-D system simulations before obtaining specific experimental data. To better predict the friction characteristics, the nonlinear dynamics of a toroidal single-phase natural circulation loop were numerically investigated, and the transition effect was considered. The k-kL-ω transitional turbulence and k-ω SST turbulence models were used to compute the flow characteristics of the loop under different heating powers varying from 0.48 to 1.0 W/cm2, and the results of both models were compared with previous experiments. The mass flow rates and friction factors predicted by the k-kL-ω model showed a better agreement with the experimental data than the results of the k-ω SST model. The oscillation frequencies calculated using both models agreed well with the experimental data. The k-kL-ω transitional turbulence model provided better friction-factor predictions in oscillatory natural circulation loops because it can reproduce the temporal and spatial variation of the wall shear stress more accurately by capturing the movement of laminar, transition turbulent zones inside unstable natural circulation loops. This study shows that transition effects are a possible explanation for the highly loop-specific friction correlations observed in various oscillatory natural circulation loops.

Keywords

Acknowledgement

This study was supported by the Tsinghua University Initiative Scientific Research Program (Grant No. 20151080379). We sincerely thank the anonymous reviewers for their helpful comments on this manuscript.

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