Monte Carlo shielding design with a large perturbation calculation method

被引：0
|
作者：
Tan, Wanbin [1 ,2 ]
Sun, Guangyao [1 ]
Long, Pengcheng [1 ]
Wu, Bin [1 ]
Song, Jing [1 ]
机构：
[1] Chinese Acad Sci, Inst Nucl Energy Safety Technol, Key Lab Neutron & Radiat Safety, Hefei 230031, Anhui, Peoples R China
[2] Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China
来源：
ANNALS OF NUCLEAR ENERGY | 2020年 / 138卷 / 138期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
Monte Carlo; Large perturbation; Material replacement; Geometry perturbation; SuperMC; NUCLEAR-DATA; IMPROVEMENT;
D O I：
10.1016/j.anucene.2019.107186
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
Correlated sampling method, which can give unperturbed and perturbed results in one-time particle transport calculation, is a widely used perturbation method in Monte Carlo (MC) calculation. However, it has the difficulty in dealing with shielding problems, e.g. material replacement and geometry perturbation. This paper presented a large perturbation calculation (LPC) method which was studied based on SuperMC. The effectiveness of this LPC method was preliminarily verified and validated with a benchmark shielding experiment. Unlike multiple independent MC calculations, one perturbation calculation using the LPC method gave multiple perturbed results of the experiment which was comparatively time-saving. The results showed that the maximum differences between the perturbation and independent MC calculations were found to be 0.4% and 2.8% for material replacement and geometry perturbation cases, respectively. Therefore, the LPC method can be used effectively in shielding design. (C) 2019 Elsevier Ltd. All rights reserved.
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页数：6
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