Advanced Search
GUO Liqi, LI Xiaobin, ZHANG Hongna, LI Fengchen, MENG Shuqi. Uncertainty Quantification of SST k-ω Turbulence Model Parameters in the Upper Plenum Flow of Nuclear ReactorsJ. Nuclear Physics Review, 2025, 42(4): 689-695. DOI: 10.11804/NuclPhysRev.42.2025XD01
Citation: GUO Liqi, LI Xiaobin, ZHANG Hongna, LI Fengchen, MENG Shuqi. Uncertainty Quantification of SST k-ω Turbulence Model Parameters in the Upper Plenum Flow of Nuclear ReactorsJ. Nuclear Physics Review, 2025, 42(4): 689-695. DOI: 10.11804/NuclPhysRev.42.2025XD01

Uncertainty Quantification of SST k-ω Turbulence Model Parameters in the Upper Plenum Flow of Nuclear Reactors

  • The temperature oscillation phenomenon in the upper plenum of the reactor core is one of the key factors affecting the safe and stable operation of lead-based nuclear power plants, and its accurate description is of great significance for the analysis of thermal striping mechanisms. By employing the SST k-ω turbulence model for numerical simulation on this phenomenon, a quantitative analysis of the impact of the three parameters β1, β2, and β* in the model on the temperature results and their uncertainty intervals was conducted, along with a sensitivity analysis of the parameters. The research results indicate that the distribution characteristics of temperature uncertainty are closely related to fluid flow and mixing processes. The temperature uncertainty is relatively low in areas near the nozzles due to the direct impact of the jet, while it is relatively high in the intermediate areas between the cold and hot nozzles due to intense fluid mixing. In particular, the parameters β2 and β* have a significant contribution to the uncertainty of the temperature results within the studied range. These findings provide scientific guidance for subsequent model improvements and engineering applications.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return