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A new methodology for modeling explicit seismic common cause failures for seismic multi-unit probabilistic safety assessment

  • Received : 2019.10.18
  • Accepted : 2020.03.22
  • Published : 2020.10.25

Abstract

In a seismic PSA, dependency among seismic failures of components has not been explicitly modeled in the fault tree or event tree. This dependency is separately identified and assigned with numbers that range from zero to unity that reflect the level of the mutual correlation among seismic failures. Because of complexity and difficulty in calculating combination probabilities of correlated seismic failures in complex seismic event tree and fault tree, there has been a great need of development to explicitly model seismic correlation in terms of seismic common cause failures (CCFs). If seismic correlations are converted into seismic CCFs, it is possible to calculate an accurate value of a top event probability or frequency of a complex seismic fault tree by using the same procedure as for internal, fire, and flooding PSA. This study first proposes a methodology to explicitly model seismic dependency by converting correlated seismic failures into seismic CCFs. As a result, this methodology will allow systems analysts to quantify seismic risk as what they have done with the CCF method in internal, fire, and flooding PSA.

Keywords

References

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Cited by

  1. A Method to Avoid Underestimated Risks in Seismic SUPSA and MUPSA for Nuclear Power Plants Caused by Partitioning Events vol.14, pp.8, 2021, https://doi.org/10.3390/en14082150
  2. Sensitivity Study on the Correlation Level of Seismic Failures in Seismic Probabilistic Safety Assessments vol.14, pp.10, 2020, https://doi.org/10.3390/en14102955