Development of Computing Code for Full Spectrum Assembly

Zhang Jinchao; Zhang Qian; Zhao Qiang; Zou Hang; Yu Jialei; Wu Shifu; Chen Ying

doi:10.13832/j.jnpe.2024.05.0019

Volume 45 Issue 5

Oct. 2024

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Zhang Jinchao, Zhang Qian, Zhao Qiang, Zou Hang, Yu Jialei, Wu Shifu, Chen Ying. Development of Computing Code for Full Spectrum Assembly[J]. Nuclear Power Engineering, 2024, 45(5): 19-25. doi: 10.13832/j.jnpe.2024.05.0019

Citation:

Zhang Jinchao, Zhang Qian, Zhao Qiang, Zou Hang, Yu Jialei, Wu Shifu, Chen Ying. Development of Computing Code for Full Spectrum Assembly[J]. Nuclear Power Engineering, 2024, 45(5): 19-25. doi: 10.13832/j.jnpe.2024.05.0019

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Development of Computing Code for Full Spectrum Assembly

doi: 10.13832/j.jnpe.2024.05.0019

1.
College of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, China
2.
School of Physics, Zhejiang University, Hangzhou, 310030, China
3.
Key Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing, 102413, China

Received Date: 2023-11-08
Rev Recd Date: 2024-02-07
Publish Date: 2024-10-14

Abstract

Abstract

In order to address the issues caused by the diverse geometric designs and complex energy spectrum problems introduced by the use of moderator materials in advanced assembly designs, and to further enhance the design capability of the assembly code, this paper designs a combination strategy and develops a corresponding code based on unstructured mesh. The strategy combines the subgroup method, which is based on a group structure including 2164 groups, with the method of characteristic transport. To ensure computational efficiency, the code employs the efficient multi-nuclide resonance interference method, offset algorithm for scattering source and parallel scheme of graphics processing unit (GPU) characteristics at thousand-group level. Advanced assembly designs with different energy spectra and geometric features are selected to validate the proposed method. The results indicate that, compared to the Monte Carlo reference, the deviations in eigenvalue are within 72pcm (1pcm=10⁻⁵) for problems with fast spectra, and within 132pcm for problems utilizing moderators. In conclusion, the calculation scheme proposed in this paper can handle assembly problems characterized by complex geometry and complex energy spectrum.
- Full spectrum,
- Assembly calculation,
- Resonance calculation,
- Method of characteristic (MOC),
- Graphics Processing Unit (GPU)

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References(11)

References

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