The Calculation of Component Failure Probability in the Seismic PSA Using Monte Carlo Sampling
According to the experience in Probabilistic safety assessment (PSA) studies of operating NPPs, one of the most important external events affecting NPP safety is earthquakes. The seismic PSA evaluates the risks of severe accidents at nuclear power plants (NPPs) caused by seismic events. Now the Seismic PSA model has been developed for the reference plant. In the study, the code was developed using Monte Carlo sampling, and then the uncertainty analysis of component failure probability was carried out in the seismic PSA. It can be found that the component failure probability in seismic has large uncertainty. And for the simultaneous failure of multi-component caused by earthquake, the failure probability was contributed mainly by the stronger component.
Component Failure Probability Seismic PSA Monte Carlo Sampling
PENG Chang-hong XIAO Jun ZHANG Ning
Probabilistic Safety Assessment and Reliability Analysis Branch, Suzhou Nuclear Power Research Institute, Shenzhen, P.R.China, 518026
国际会议
哈尔滨
英文
556-559
2011-11-24（万方平台首次上网日期，不代表论文的发表时间）