原子能科学技术2024，Vol.58Issue(3)：630-637,8.DOI:10.7538/yzk.2023.youxian.0325
基于自动重要抽样方法的减方差技巧体系构建与验证
Construction and Verification of Variance Reduction Technique System Based on Automatic Importance Sampling
摘要
Abstract
According to different objectives,shielding calculation problems can be divided into regional problem,source-detector problem,and global problem.To solve the deep penetration problem of the three kinds of problems,the MCShield research team systematically proposed a series of variance reduction methods.According to these works,this article constructed a variance reduction technique system based on the automatic importance sampling(AIS)method,and conducted some verification work.For the source-detector problem,the NUREG/CR-6115 PWR pressure vessel calcula-tion benchmark was used to verify the small detector automatic importance sampling(SDAIS)method.The result shows that the SDAIS method is more efficient than the AIS method for the source-detector problem.In addition,an AIS-based Monte Carlo coupled variance reduction(AIS-CADIS)method was also proposed which introduces the AIS method into Monte Carlo adjoint calculations and was verified against bench-mark problems.For global problems,the grid-based AIS method was proposed and verified using a simplified reactor shielding calculation problem.The results show that compared with the AIS method and analog Monte Carlo methods,the grid-based AIS method can improve calculation efficiency.关键词
蒙特卡罗/自动重要抽样方法/减方差技巧/MCShield程序Key words
Monte Carlo/automatic importance sampling method/variance reduction technique/MCShield program分类
能源科技引用本文复制引用
武祯,郝以昇,浦彦恒,周扬,杲申申,邱睿,马锐垚,张辉,李君利..基于自动重要抽样方法的减方差技巧体系构建与验证[J].原子能科学技术,2024,58(3):630-637,8.基金项目
中国辐射防护研究院平台发展基金(YP21030101) （YP21030101）
国家自然科学基金面上项目(12175114,U2167209) （12175114,U2167209）
