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全局减方差方法在乏燃料干式贮存容器屏蔽计算中的应用
引用本文:王梦琪,郑征,梅其良,黎辉,程汤培. 全局减方差方法在乏燃料干式贮存容器屏蔽计算中的应用[J]. 原子能科学技术, 2019, 53(5): 884-892. DOI: 10.7538/yzk.2018.youxian.0480
作者姓名:王梦琪  郑征  梅其良  黎辉  程汤培
作者单位:1.上海核工程研究设计院有限公司,上海200233;2.北京应用物理与计算数学研究所,北京100190
摘    要:开发了基于离散纵标(SN)方法的蒙特卡罗(MC)全局减方差方法,针对乏燃料干式贮存容器,分别建立了中子源及光子源MC直接计算模型、SN计算模型及全局减方差方法计算模型,并进行了计算精度和效率的比较。数值结果表明,全局减方差方法计算结果与无偏的MC及SN计算结果相比吻合良好。其中SN计算的次级光子剂量率与全局减方差方法计算的偏差较大,这主要是由于MC计算和SN计算时的数据库差异导致的。和无偏的MC结果相比,全局减方差方法计算的中子及次级光子输运计算收敛效率提高了近2个数量级,初级光子输运计算收敛效率提高了1~2个数量级。

关 键 词:蒙特卡罗   全局减方差方法   干式贮存

Application of Global Variance Reduction Method to Spent Fuel Dry Storage Cask Shielding Calculation
WANG Mengqi,ZHENG Zheng,MEI Qiliang,LI Hui,CHENG Tangpei. Application of Global Variance Reduction Method to Spent Fuel Dry Storage Cask Shielding Calculation[J]. Atomic Energy Science and Technology, 2019, 53(5): 884-892. DOI: 10.7538/yzk.2018.youxian.0480
Authors:WANG Mengqi  ZHENG Zheng  MEI Qiliang  LI Hui  CHENG Tangpei
Affiliation:1.Shanghai Nuclear Engineering Research & Design Institute Co.,Ltd.,Shanghai 200233, China;2.Institute of Applied Physics and Computational Mathematics, Beijing 100190, China
Abstract:The Monte Carlo (MC) global variance reduction (GVR) method based on discrete ordinate (SN) method was developed. Spent fuel dry storage cask shielding calculation model was established, including forward MC model,SN model and GVR method model, and the calculation accuracy and efficiency were compared. Numerical results show that the results of GVR method agree well with unbiased MC calculation results andSN calculation results. The deviation of secondary gamma-ray dose rate between GVR method andSN method is large for the difference of cross-section libraries. Compared with unbiased MC method, the neutron and secondary gamma-ray transport computational efficiencies of GVR method are improved about 2 orders, and the primary gamma-ray transport computational efficiency is increased about 1-2 orders.
Keywords:Monte Carlo  global variance reduction method  dry storage  
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