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：

国家重点研发计划; 中国国家自然科学基金;

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.

引用

页数：6

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