Reliability assessment of a passive residual heat removal system for IPWR

被引：0
|
作者：
Wang C. [1 ]
Peng M. [1 ]
Xia G. [1 ]
Cong T. [1 ]
机构：
[1] Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin
来源：
Peng, Minjun (heupmj@163.com) | 1910年 / Editorial Board of Journal of Harbin Engineering卷 / 39期
关键词：
Functional failure; Integral pressurized water reactor; Neural network; Passive system; Probabilistic safety analysis; RELAP5; Reliability; Response surface;
D O I：
10.11990/jheu.201708056
中图分类号：
学科分类号：
摘要：
To improve the computational efficiency when calculating the failure probability of passive safety systems as well as quantify the passive system reliability and promote the development of the passive safety systems, analytic hierarchy process is used to screen key parameters. In addition, RELAP5 is used to establish the IPWR200 thermal hydraulic model, and uncertainty propagation is used to obtain the system response value of training set. The neural network response surface method is used to train the artificial neural network to be a substitute model for complicated thermal hydraulic procedure and calculate the failure possibility of the physical process of passive residual heat removal system (PRHRS). Finally, the output is integrated into the fault tree analysis model that calculates the hardware failure probality. The results show that the IPWR200 passive residual heat removal system has a high reliability, and failure of the physical process is the key factor that causes PRHRS failure. © 2018, Editorial Department of Journal of HEU. All right reserved.
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页码：1910 / 1917
页数：7
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