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. (c) 2020 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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Korea Atom Energy Res Inst, Struct Safety & Prognosis Res Div, Daejeon, South KoreaKyungpook Natl Univ, Dept Convers & Fus Syst Engn, Major Plant Syst Engn, Daegu, South Korea
Choi, In-Kil
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Yang, Beomjoo
Kwag, Shinyoung
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Hanbat Natl Univ, Dept Civil & Environm Engn, Daejeon, South KoreaKyungpook Natl Univ, Dept Convers & Fus Syst Engn, Major Plant Syst Engn, Daegu, South Korea
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Department of Nuclear Engineering, Hanyang University, Seoul, Korea, Republic ofDepartment of Nuclear Engineering, Hanyang University, Seoul, Korea, Republic of
Ryu, Junghyun
Jae, Moosung
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Department of Nuclear Engineering, Hanyang University, Seoul, Korea, Republic ofDepartment of Nuclear Engineering, Hanyang University, Seoul, Korea, Republic of