原子能科学技术2018，Vol.52Issue(3)：562-569,8.DOI:10.7538/yzk.2017.youxian.0366
用于迷宫屏蔽计算的蒙特卡罗减方差方法研究
Study on Monte Carlo Variance-reduction Method Used for Maze Shielding Calculation
摘要
Abstract
The forced pointing auto-importance sampling (FPAIS) method was presented using multiple variance-reduction methods in this paper,and was realized in MCNP5 code.This method was applied to the calculation of a multiple-bend maze example,and the calculation result was compared with natural Monte Carlo calculation,DXTRAN sphere and point flux methods using MCNP5 code.Besides,the sensitivity for setting the guiding surface and particle number of FPAIS method was analyzed with this example.The results show that the FOM of FPAIS significantly increases with 2-3 orders of magnitude compared with the other three methods in the premise of ensuring high calculation accuracy.FPAIS method is insensitive to the setting of the guiding surface and easy to use,and it is an accurate and efficient solution for the calculation of maze shielding.关键词
迷宫屏蔽/蒙特卡罗/强迫指向自动重要抽样/引导面Key words
maze shielding/Monte Carlo/forced pointing auto-importance sampling/guiding surface分类
能源科技引用本文复制引用
陈宜正,王鑫,武祯,刘福东,赵传奇,邱睿,李春艳,李君利..用于迷宫屏蔽计算的蒙特卡罗减方差方法研究[J].原子能科学技术,2018,52(3):562-569,8.基金项目
国家科技重大专项子课题资助项目(2013ZX06002001-007) （2013ZX06002001-007）
国家自然科学基金资助项目(11375103) （11375103）
国家重大科学仪器设备开发专项资助(2012YQ180118) （2012YQ180118）
国家重点研发计划资助项目(2016YFC0904600) （2016YFC0904600）
