Reliability Evaluation of Passive System for Nuclear Power Plant Based on Improved Multi-Level Cross Entropy Method

Zhang Yongfa; Jiang Lizhi; Cai Qi; Liu Xiaoya; Jiao Meng

doi:10.13832/j.jnpe.2021.04.0186

Volume 42 Issue 4

Aug. 2021

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Zhang Yongfa, Jiang Lizhi, Cai Qi, Liu Xiaoya, Jiao Meng. Reliability Evaluation of Passive System for Nuclear Power Plant Based on Improved Multi-Level Cross Entropy Method[J]. Nuclear Power Engineering, 2021, 42(4): 186-190. doi: 10.13832/j.jnpe.2021.04.0186

Citation:

Zhang Yongfa, Jiang Lizhi, Cai Qi, Liu Xiaoya, Jiao Meng. Reliability Evaluation of Passive System for Nuclear Power Plant Based on Improved Multi-Level Cross Entropy Method[J]. Nuclear Power Engineering, 2021, 42(4): 186-190. doi: 10.13832/j.jnpe.2021.04.0186

Citation:

Zhang Yongfa, Jiang Lizhi, Cai Qi, Liu Xiaoya, Jiao Meng. Reliability Evaluation of Passive System for Nuclear Power Plant Based on Improved Multi-Level Cross Entropy Method[J]. Nuclear Power Engineering, 2021, 42(4): 186-190. doi: 10.13832/j.jnpe.2021.04.0186

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Reliability Evaluation of Passive System for Nuclear Power Plant Based on Improved Multi-Level Cross Entropy Method

doi: 10.13832/j.jnpe.2021.04.0186

College of Nuclear Science and Technology, Naval University of Engineering, Wuhan, 430033, China

Received Date: 2020-06-30
Rev Recd Date: 2020-08-20
Publish Date: 2021-08-15

Abstract

Abstract

In view of the difficulty in constructing the importance sampling density in the reliability evaluation of passive system and the defects of the standard multi-level cross entropy method in practical engineering application, an improved multi-level cross entropy method is proposed by improving the algorithm structure and introducing the Halton sequence sampling method with better uniformity. Taking an experimental facility for passive residual heat removal system of a certain marine nuclear power plant as an example, the performance verification analysis and example analysis of the IMCE method are implemented. The calculation results show that, the relative error distribution of the improved method is more convergent and the distribution of the coefficient of variation is similar, and the improved method is with better estimation accuracy and robustness with less computation. Moreover, the improved method is with stronger applicability in practical engineering application, because there is no need to set additional smoothing parameter, and the evaluation process can be completed earlier according to the system characteristics and sampling conditions.
- Improved multi-level cross entropy method,
- Nuclear power plant,
- Passive system,
- Thermal-hydraulic reliability

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References(10)

References

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