Research on Rapid Calculation and Reconstruction Technology of Radiation Field Based on Bayesian Inference Method

Tang Songqian; Yu Hong; Lyu Huanwen; Wen Xingjian; Miao Jianxin; Chen Xin

doi:10.13832/j.jnpe.2024.S2.0110

Volume 45 Issue S2

Jan. 2025

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Article Navigation > Nuclear Power Engineering > 2024 > 45(S2): 110-114

Tang Songqian, Yu Hong, Lyu Huanwen, Wen Xingjian, Miao Jianxin, Chen Xin. Research on Rapid Calculation and Reconstruction Technology of Radiation Field Based on Bayesian Inference Method[J]. Nuclear Power Engineering, 2024, 45(S2): 110-114. doi: 10.13832/j.jnpe.2024.S2.0110

Citation:

Tang Songqian, Yu Hong, Lyu Huanwen, Wen Xingjian, Miao Jianxin, Chen Xin. Research on Rapid Calculation and Reconstruction Technology of Radiation Field Based on Bayesian Inference Method[J]. Nuclear Power Engineering, 2024, 45(S2): 110-114. doi: 10.13832/j.jnpe.2024.S2.0110

Citation:

Tang Songqian, Yu Hong, Lyu Huanwen, Wen Xingjian, Miao Jianxin, Chen Xin. Research on Rapid Calculation and Reconstruction Technology of Radiation Field Based on Bayesian Inference Method[J]. Nuclear Power Engineering, 2024, 45(S2): 110-114. doi: 10.13832/j.jnpe.2024.S2.0110

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Research on Rapid Calculation and Reconstruction Technology of Radiation Field Based on Bayesian Inference Method

doi: 10.13832/j.jnpe.2024.S2.0110

State Key Laboratory of Advanced Nuclear Energy Technology, Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2024-06-30
Rev Recd Date: 2024-09-22
Publish Date: 2025-01-06

Abstract

Abstract

In order to meet the requirements of rapid calculation of radiation field in nuclear facility decommissioning, nuclear power plant maintenance and other related field work, a rapid calculation code CSGPK based on point kernel integral method is developed in this study, which is suitable for complex geometry and source description. In order to improve the calculation accuracy of point kernel integral method, the radiation field is reconstructed by Bayesian inference method, and the developed code is verified by flat plate model and maze model. The verification results show that the calculation accuracy of CSGPK of point kernel method is equivalent to that of similar international calculation software. By using Bayesian inference method to reconstruct the radiation field, the calculation accuracy of the point kernel integration method can be greatly improved, and the application scope of CSGPK can be improved.
- Point kernel method,
- Bayesian inference method,
- Radiation field reconstruction,
- CSGPK

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References(9)

References

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