Application of Global Variance Reduction Method to Spent Fuel Dry Storage Cask Shielding Calculation

被引：0

作者：

Wang M. ^{[1
]}

Zheng Z. ^{[1
]}

Mei Q. ^{[1
]}

Li H. ^{[1
]}

Cheng T. ^{[2
]}

机构：

[1] Shanghai Nuclear Engineering Research & Design Institute Co., Ltd., Shanghai

[2] Institute of Applied Physics and Computational Mathematics, Beijing

来源：

Yuanzineng Kexue Jishu/Atomic Energy Science and Technology | 2019年 / 53卷 / 05期

关键词：

Dry storage; Global variance reduction method; Monte Carlo;

D O I：

10.7538/yzk.2018.youxian.0480

中图分类号：

学科分类号：

摘要：

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 and SN calculation results. The deviation of secondary gamma-ray dose rate between GVR method and SN 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. © 2019, Editorial Board of Atomic Energy Science and Technology. All right reserved.

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页码：884 / 892

页数：8

共 10 条

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