Study on Monte Carlo Importance Sampling Method Based on Unstructured Mesh

被引：0
|
作者：
Shu H. [1 ]
Cao L. [1 ]
He Q. [1 ]
Dai T. [1 ]
Huang Z. [1 ]
机构：
[1] School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an
来源：
Hedongli Gongcheng/Nuclear Power Engineering | 2023年 / 44卷 / 03期
关键词：
Consistent adjoint driven importance sampling (CADIS) method; Monte Carlo method; Neutron transport code; Unstructured mesh;
D O I：
10.13832/j.jnpe.2023.03.0028
中图分类号：
学科分类号：
摘要：
In order to improve the modeling and calculation accuracy of the traditional Consistent Adjoint Driven Importance Sampling (CADIS) method that relies on structural-mesh finite-difference discrete ordinate (SN) code to determine the importance distribution of particles to further enhance its capability of dealing with complex-geometric deep-penetration problems, a fully automatic unstructured-mesh CADIS method is studied and implemented in this paper, parallel three-dimensional unstructured-mesh neutron-photon-coupled transport code NECP-SUN based on SN method and discontinuous finite element method (DFEM) is developed and embedded into the Monte Carlo code NECP-MCX as adjoint transport solver. The numerical results of the calculations of the HBR-2 benchmark and the fast-neutron fluence rate of the toroidal field coil boxes in the Chinese Fusion Engineering Test Reactor (CFETR) show that the unstructured-mesh CADIS method has stronger adaptability to complex geometry than the traditional CADIS method, and the results obtained are relatively lower in relative statistical error and closer to the measurements; the figure of merit (FOM) is increased by 1~3 orders than that of direct Monte Carlo simulation. Therefore, the unstructured-mesh CADIS method studied in this paper can better handle deep-penetration problems with complex geometry. © 2023 Yuan Zi Neng Chuban She. All rights reserved.
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页码：28 / 37
页数：9
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