Study on Monte Carlo Importance Sampling Method Based on Unstructured Mesh

Shu Hanlin; Cao Liangzhi; He Qingming; Dai Tao; Huang Zhanpeng

doi:10.13832/j.jnpe.2023.03.0028

Volume 44 Issue 3

Jun. 2023

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Article Navigation > Nuclear Power Engineering > 2023 > 44(3): 28-37

Shu Hanlin, Cao Liangzhi, He Qingming, Dai Tao, Huang Zhanpeng. Study on Monte Carlo Importance Sampling Method Based on Unstructured Mesh[J]. Nuclear Power Engineering, 2023, 44(3): 28-37. doi: 10.13832/j.jnpe.2023.03.0028

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Shu Hanlin, Cao Liangzhi, He Qingming, Dai Tao, Huang Zhanpeng. Study on Monte Carlo Importance Sampling Method Based on Unstructured Mesh[J]. Nuclear Power Engineering, 2023, 44(3): 28-37. doi: 10.13832/j.jnpe.2023.03.0028

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Study on Monte Carlo Importance Sampling Method Based on Unstructured Mesh

doi: 10.13832/j.jnpe.2023.03.0028

School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, 710049, China

Received Date: 2022-07-26
Rev Recd Date: 2022-09-03
Publish Date: 2023-06-15

Abstract

Abstract

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 (S_N) 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 S_N 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.
- Neutron transport code,
- Monte Carlo method,
- Consistent adjoint driven importance sampling (CADIS) method,
- Unstructured mesh

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References

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