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Volume 38 Issue 6
Feb.  2025
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Guo Haikuan, Zhao Xinwen, CAi Qi, Zhang Yongfa, Huang Liqin. Integrating Reliability of Passive Residual Heat Removal System for AP1000 into Probabilistic Safety Assessment[J]. Nuclear Power Engineering, 2017, 38(6): 9-13. doi: 10.13832/j.jnpe.2017.06.0009
Citation: Guo Haikuan, Zhao Xinwen, CAi Qi, Zhang Yongfa, Huang Liqin. Integrating Reliability of Passive Residual Heat Removal System for AP1000 into Probabilistic Safety Assessment[J]. Nuclear Power Engineering, 2017, 38(6): 9-13. doi: 10.13832/j.jnpe.2017.06.0009

Integrating Reliability of Passive Residual Heat Removal System for AP1000 into Probabilistic Safety Assessment

doi: 10.13832/j.jnpe.2017.06.0009
  • Received Date: 2016-11-30
  • Rev Recd Date: 2017-05-10
  • Available Online: 2025-02-09
  • The paper studied the reliability of AP1000 passive residual heat removal system, and various importance and sensibility index were used to analyze the hardware reliability of the system. Importance and sensibility order for various failure mode of equipment leading to system failure is obtained to provide references to optimize the system and improve the hardware reliability. The hardware and physical process reliability of the system is integrated into the probabilistic safety assessment. The result was found that the evaluation of the reliability of the passive residual heat removal system not only analyzed the hardware reliability but also considered the physical process reliability, and the hardware and physical process reliability should be integrated into the probabilistic safety assessment to evaluate the passive residual heat removal system reliability comprehensively.

     

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