原子能科学技术2024，Vol.58Issue(z1)：393-403,11.DOI:10.7538/yzk.2024.youxian.0422
面向液态铅铋数值传热的湍流热通量模型构建综述
Review of Turbulent Heat Flux Model Construction for Numerical Heat Transfer in Liquid Lead-bismuth
摘要
Abstract
Numerical heat transfer of liquid lead-bismuth eutectic(LBE)is limited by the extremely low-Prandtl-number characteristic,conventional Reynolds analogy method fails to accurately close and describe the turbulent heat flux(THF)in the averaged energy equation and the temperature transport process.Therefore,it is necessary to construct models specifically for the closure of THF in low-Prandtl-number fluids.The models are divided into four categories:turbulent-Prandtl-number models,algebraic heat flux models,second-moment differential heat flux models,and data-driven models using machine learning.This study provides insights into subsequent research,optimization,and innovation in THF closure modeling by reviewing their research progress,modeling concepts,the complexity demonstrated by the models,and their applicability in engineering applications.In the simulation of forced convection heat transfer between fuel rod bundles in LBE,explicit algebraic heat flux models show promising application prospects,while machine learning provides a fresh perspective for THF closure.关键词
湍流热通量/液态金属/数值传热/代数热通量模型/机器学习Key words
turbulent heat flux/liquid metal/numerical heat transfer/algebraic heat flux model/machine learning分类
核科学引用本文复制引用
蔡杰进,吴杰,黄彦平..面向液态铅铋数值传热的湍流热通量模型构建综述[J].原子能科学技术,2024,58(z1):393-403,11.基金项目
国家自然科学基金(12275088) （12275088）
广东省重点研发计划(202180101250002) （202180101250002）
国防科技工业核动力创新中心专项(HDLCXZX-2022-008) （HDLCXZX-2022-008）
