IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v103y2020i3d10.1007_s11069-020-04148-9.html
   My bibliography  Save this article

Multi-objective-based seismic fragility relocation for a Korean nuclear power plant

Author

Listed:
  • Shinyoung Kwag

    (Hanbat National University)

  • Daegi Hahm

    (Korea Atomic Energy Research Institute)

Abstract

An optimal risk-informed seismic fragility relocation is proposed for structures, systems, and components (SSCs) of nuclear power plants (NPPs) that mitigates the core damage risk of the NPP and raises the cost performance. The proposed approach employs a seismic probabilistic safety assessment technique to effectively distribute seismic fragilities of SSCs from the perspective of overall plant risk. The main objectives of the optimal seismic fragility relocation are to mitigate the core damage risk and minimize the total cost for the SSCs of the NPP. To deal with such conflicting purposes, a genetic algorithm-based multi-objective optimization scheme is adopted. This approach systematically obtains a set of Pareto optimal solutions that are neither inferior nor superior to each other. The process for choosing the most appropriate seismic fragility distribution plan from the optimal front of Pareto solutions is also discussed with an emphasis on the study of the uncertainty quantification on such optimal Pareto solutions. As an example for such an optimal fragility relocation study, this study considers a typical type of Korean NPP. The numerical results confirm that the proposed approach provides diverse optimal seismic fragility relocation plans which can effectively reduce the core damage risk as well as the cost compared to the current fragility distribution of this example NPP. Finally, the best optimal alternatives for the fragility relocation are selected based on the Pareto optimal solution’s robustness of performances against their perturbations.

Suggested Citation

  • Shinyoung Kwag & Daegi Hahm, 2020. "Multi-objective-based seismic fragility relocation for a Korean nuclear power plant," 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. 103(3), pages 3633-3659, September.
  • Handle: RePEc:spr:nathaz:v:103:y:2020:i:3:d:10.1007_s11069-020-04148-9
    DOI: 10.1007/s11069-020-04148-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-020-04148-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-020-04148-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kwag, Shinyoung & Park, Junhee & Choi, In-Kil, 2020. "Development of efficient complete-sampling-based seismic PSA method for nuclear power plant," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).
    3. Wan Fang & Guo Haixiang & Li Jinling & Gu Mingyun & Pan Wenwen, 2021. "Multi-objective Emergency Scheduling for Geological Disasters," 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. 105(2), pages 1323-1358, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. DeJesus Segarra, Jonathan & Bensi, Michelle & Modarres, Mohammad, 2021. "A Bayesian Network Approach for Modeling Dependent Seismic Failures in a Nuclear Power Plant Probabilistic Risk Assessment," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    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).
    3. Pang, Rui & Zai, Dezhi & Xu, Bin & Liu, Jun & Zhao, Chunfeng & Fan, Qunying & Chen, Yuting, 2023. "Stochastic dynamic and reliability analysis of AP1000 nuclear power plants via DPIM subjected to mainshock-aftershock sequences," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    4. Zhao, Yan-Gang & Qin, Miao-Jun & Lu, Zhao-Hui & Zhang, Long-Wen, 2021. "Seismic fragility analysis of nuclear power plants considering structural parameter uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    5. Zheng, Zhi & Tian, Aonan & Pan, Xiaolan & Ji, Duofa & Wang, Yong, 2024. "The damage-based fragility analysis and probabilistic safety assessment of containment under internal pressure," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:103:y:2020:i:3:d:10.1007_s11069-020-04148-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.