Chord length sampling correction analysis for dispersion fuel in Monte Carlo simulation

作     者：Zhao-Yu Liang Ding She Yu-Tong Wen Lei Shi Zhao-Yu Liang;Ding She;Yu-Tong Wen;Lei Shi

作者机构：Institute of Nuclear and New Energy Technology(INET)Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of EducationTsinghua UniversityBeijing 100084China 

出 版 物：《Nuclear Science and Techniques》 (核技术（英文）)

年 卷 期：2024年第35卷第4期

页      面：57-64页

核心收录：

学科分类：08[工学] 0827[工学-核科学与技术] 082701[工学-核能科学与工程] 0702[理学-物理学] 

基　　金：supported by the CNNC Youth Research Project。 

主　　题：Stochastic media Monte Carlo Chord length sampling Excluded-volume effect Chord length correction 

摘      要：Dispersion fuels,knowned for their excellent safety performance,are widely used in advanced reactors,such as hightemperature gas-cooled reactors.Compared with deterministic methods,the Monte Carlo method has more advantages in the geometric modeling of stochastic media.The explicit modeling method has high computational accuracy and high computational cost.The chord length sampling(CLS)method can improve computational efficiency by sampling the chord length during neutron transport using the matrix chord length?s probability density function.This study shows that the excluded-volume effect in realistic stochastic media can introduce certain deviations into the CLS.A chord length correction approach is proposed to obtain the chord length correction factor by developing the Particle code based on equivalent transmission probability.Through numerical analysis against reference solutions from explicit modeling in the RMC code,it was demonstrated that CLS with the proposed correction method provides good accuracy for addressing the excludedvolume effect in realistic infinite stochastic media.