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Development of Efficient External Multi-Hazard Risk Quantification Methodology for Nuclear Facilities

Author

Listed:
  • Shinyoung Kwag

    (Department of Civil and Environmental Engineering, Hanbat National University, Daejeon 34158, Korea)

  • Jeong Gon Ha

    (Mechanical and Structural Safety Research Division, Korea Atomic Energy Research Institute, Daejeon 34057, Korea)

  • Min Kyu Kim

    (Mechanical and Structural Safety Research Division, Korea Atomic Energy Research Institute, Daejeon 34057, Korea)

  • Jung Han Kim

    (Department of Civil Engineering, Pusan National University, Busan 46241, Korea)

Abstract

Probabilistic safety assessment (PSA) of nuclear facilities on external multi-hazards has become a major issue after the Fukushima accident in 2011. However, the existing external hazard PSA methodology is for single hazard events and cannot cover the impact of multi-hazards. Therefore, this study proposes a methodology for quantifying multi-hazard risks for nuclear energy plants. Specifically, we developed an efficient multi-hazard PSA methodology based on the probability distribution-based Boolean algebraic approach and sampling-based method, which are currently single-hazard PSA methodologies. The limitations of the probability distribution-based Boolean algebraic approach not being able to handle partial dependencies between the components are solved through this sampling-based method. In addition, we devised an algorithm that was more efficient than the existing algorithm for improving the limits of the current sampling-based method, as it required a significant computational time. The proposed methodology was applied from simple examples to single- and multi-hazard PSA examples of actual nuclear power plants. The results showed that the proposed methodology was verified in terms of accuracy and efficiency perspectives. Regarding the sampling-based method, it was confirmed that the proposed algorithm yielded fragility and risk results that have similar degrees of accuracy, even though it extracted a smaller number of samples than the existing algorithm.

Suggested Citation

  • Shinyoung Kwag & Jeong Gon Ha & Min Kyu Kim & Jung Han Kim, 2019. "Development of Efficient External Multi-Hazard Risk Quantification Methodology for Nuclear Facilities," Energies, MDPI, vol. 12(20), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3925-:d:277130
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    References listed on IDEAS

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    1. Salzano, Ernesto & Garcia Agreda, Anita & Di Carluccio, Antonio & Fabbrocino, Giovanni, 2009. "Risk assessment and early warning systems for industrial facilities in seismic zones," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1577-1584.
    2. Saurabh Prabhu & Mohammad Javanbarg & Marc Lehmann & Sez Atamturktur, 2019. "Multi-peril risk assessment for business downtime of industrial facilities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1327-1356, July.
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    Cited by:

    1. Eujeong Choi & Shinyoung Kwag & Jeong-Gon Ha & Daegi Hahm, 2021. "Development of a Two-Stage DQFM to Improve Efficiency of Single- and Multi-Hazard Risk Quantification for Nuclear Facilities," Energies, MDPI, vol. 14(4), pages 1-21, February.
    2. Kwag, Shinyoung & Choi, Eujeong & Eem, Seunghyun & Ha, Jeong-Gon & Hahm, Daegi, 2021. "Toward improvement of sampling-based seismic probabilistic safety assessment method for nuclear facilities using composite distribution and adaptive discretization," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

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