• 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