DocumentCode :
1822255
Title :
The calculation of component failure probability in the seismic PSA using Monte Carlo sampling
Author :
Peng Chang-hong ; Xiao Jun ; Zhang Ning
Author_Institution :
Probabilistic Safety Assessment & Reliability Anal. Branch, Suzhou Nucl. Power Res. Inst., Shenzhen, China
fYear :
2011
fDate :
25-27 Nov. 2011
Firstpage :
556
Lastpage :
559
Abstract :
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.
Keywords :
Monte Carlo methods; earthquakes; nuclear power stations; probability; Monte Carlo sampling; component failure probability; earthquakes; nuclear power plants; seismic PSA; seismic probabilistic safety assessment; uncertainty analysis; Acceleration; Earthquakes; Hazards; Monte Carlo methods; Power generation; Uncertainty; Component Failure Probability; Monte Carlo Sampling; Seismic PSA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems for Crisis Response and Management (ISCRAM), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang
Print_ISBN :
978-1-4577-0369-0
Type :
conf
DOI :
10.1109/ISCRAM.2011.6184058
Filename :
6184058
Link To Document :
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