IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v241y2024ics0951832023005720.html
   My bibliography  Save this article

The damage-based fragility analysis and probabilistic safety assessment of containment under internal pressure

Author

Listed:
  • Zheng, Zhi
  • Tian, Aonan
  • Pan, Xiaolan
  • Ji, Duofa
  • Wang, Yong

Abstract

A new approach applicable to the probabilistic safety assessment of the prestressed concrete containment vessel (PCCV) under internal pressure is proposed. The proposed procedure uses (a) continuous damage state of the PCCV to characterize the varied damage extent under internal pressure, and (b) damage-based fragility to represent the safety performance of the PCCV. The damage-based fragility is more closely related to component performance than the conventional pressure-based fragility. The use of the continuous damage state of the PCCV enables the different performances of leakage to be considered. The results show that the suggested damage ratios can be used to determine the impact of material uncertainties on the damage behaviors of containment components. The conventional pressure-based fragility analysis method may significantly underestimate the dispersion of the conditional failure probability in comparison with the damage-based fragility method. Based on the estimated fragility results at different confidence levels, the cumulative conditional failure probability (CCFP) of the containment components is obtained by using conventional and proposed probabilistic safety assessment (PSA) methods. It is possible to deduce that the developed damage-based PSA method should be adopted to calculate the CCFP as it provides a more realistic and conservative CCFP of the containment.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023005720
    DOI: 10.1016/j.ress.2023.109658
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832023005720
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2023.109658?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. 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).
    2. 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).
    3. Borgonovo, E. & Zentner, I. & Pellegri, A. & Tarantola, S. & de Rocquigny, E., 2013. "On the importance of uncertain factors in seismic fragility assessment," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 66-76.
    4. Kok, Besir & Benli, Hüseyin, 2017. "Energy diversity and nuclear energy for sustainable development in Turkey," Renewable Energy, Elsevier, vol. 111(C), pages 870-877.
    5. 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).
    6. Jin, Song & Gong, Jinxin, 2021. "Fragility analysis and probabilistic performance evaluation of nuclear containment structure subjected to internal pressure," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    7. Seyed Mojtaba Hoseyni & Seyed Mohsen Hoseyni & Faramarz Yousefpour & Kaveh Karimi, 2017. "Probabilistic analysis of containment structural performance in severe accidents," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(3), pages 625-634, September.
    8. Jewell, Jessica, 2011. "Ready for nuclear energy?: An assessment of capacities and motivations for launching new national nuclear power programs," Energy Policy, Elsevier, vol. 39(3), pages 1041-1055, March.
    9. Kim, Man Cheol, 2023. "Rigorous derivation of interfacing system LOCA frequency formulas for probabilistic safety assessment of nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    10. Francesco, Di Maio & Matteo, Fumagalli & Carlo, Guerini & Federico, Perotti & Enrico, Zio, 2021. "Time-dependent reliability analysis of the reactor building of a nuclear power plant for accounting of its aging and degradation," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    11. Gangolu, Jaswanth & Kishore, Katchalla Bala & Sharma, Hrishikesh, 2023. "Probabilistic demand models and reliability based code calibration for reinforced concrete column and beam subjected to blast loading," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    12. Kishore, Katchalla Bala & Gangolu, Jaswanth & Ramancha, Mukesh K. & Bhuyan, Kasturi & Sharma, Hrishikesh, 2022. "Performance-based probabilistic deflection capacity models and fragility estimation for reinforced concrete column and beam subjected to blast loading," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    13. Gangolu, Jaswanth & Kumar, Ajay & Bhuyan, Kasturi & Sharma, Hrishikesh, 2022. "Probabilistic demand models and performance-based fragility estimates for concrete protective structures subjected to missile impact," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    Full references (including those not matched with items on IDEAS)

    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. Li, Xinbo & Gong, Jinxin, 2024. "Probabilistic evaluation of the leak-tightness function of the nuclear containment structure subjected to internal pressure," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    2. Kishore, Katchalla Bala & Gangolu, Jaswanth & Ramancha, Mukesh K. & Bhuyan, Kasturi & Sharma, Hrishikesh, 2022. "Performance-based probabilistic deflection capacity models and fragility estimation for reinforced concrete column and beam subjected to blast loading," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    3. Dhulipala, Somayajulu L.N. & Shields, Michael D. & Chakroborty, Promit & Jiang, Wen & Spencer, Benjamin W. & Hales, Jason D. & Labouré, Vincent M. & Prince, Zachary M. & Bolisetti, Chandrakanth & Che, 2022. "Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    4. Bhuyan, Kasturi & Sharma, Hrishikesh, 2022. "Reliability analysis & performance-based code calibration for slabs/walls of protective structures subject to air blast loading," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    5. Kumar, Suman & Saxena, Sanchit & Sharma, Hrishikesh & Gangolu, Jaswanth & Prabhu, T. Ajeeth, 2023. "Development of design guidelines using probabilistic framework for the development of smart thickening fluid based ultra resistant adaptive kinematic soft human armor (SURAKSHA)," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    6. 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).
    7. Wang, Tiao & Li, Chunhe & Zheng, Jian-jun & Hackl, Jürgen & Luan, Yao & Ishida, Tetsuya & Medepalli, Satya, 2023. "Consideration of coupling of crack development and corrosion in assessing the reliability of reinforced concrete beams subjected to bending," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    8. Bi-Huei Tsai & Yao-Min Huang, 2023. "Comparing the Substitution of Nuclear Energy or Renewable Energy for Fossil Fuels between the United States and Africa," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    9. Yesilyurt, Murat Kadir & Eryilmaz, Tanzer & Arslan, Mevlüt, 2018. "A comparative analysis of the engine performance, exhaust emissions and combustion behaviors of a compression ignition engine fuelled with biodiesel/diesel/1-butanol (C4 alcohol) and biodiesel/diesel/," Energy, Elsevier, vol. 165(PB), pages 1332-1351.
    10. Li, Hui & Ni, Long & Yao, Yang & Sun, Cheng, 2020. "Annual performance experiments of an earth-air heat exchanger fresh air-handling unit in severe cold regions: Operation, economic and greenhouse gas emission analyses," Renewable Energy, Elsevier, vol. 146(C), pages 25-37.
    11. Gabriela O. Chiciudean & Rezhen Harun & Felix H. Arion & Daniel I. Chiciudean & Camelia F. Oroian & Iulia C. Muresan, 2018. "A Critical Approach on Sustainable Renewable Energy Sources in Rural Area: Evidence from North-West Region of Romania," Energies, MDPI, vol. 11(9), pages 1-15, August.
    12. Brimmo, Ayoola T. & Sodiq, Ahmed & Sofela, Samuel & Kolo, Isa, 2017. "Sustainable energy development in Nigeria: Wind, hydropower, geothermal and nuclear (Vol. 1)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 474-490.
    13. Singh, Rhythm, 2018. "Energy sufficiency aspirations of India and the role of renewable resources: Scenarios for future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2783-2795.
    14. 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).
    15. Contu, Davide & Strazzera, Elisabetta & Mourato, Susana, 2016. "Modeling individual preferences for energy sources: The case of IV generation nuclear energy in Italy," Ecological Economics, Elsevier, vol. 127(C), pages 37-58.
    16. Dainius Genys & Ričardas Krikštolaitis, 2020. "Clusterization of public perception of nuclear energy in relation to changing political priorities," Post-Print hal-03271859, HAL.
    17. Mounir Ben Mbarek & Samia Nasreen & Rochdi Feki, 2017. "The contribution of nuclear energy to economic growth in France: short and long run," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 219-238, January.
    18. Hong, Sanghyun & Bradshaw, Corey J.A. & Brook, Barry W., 2015. "Global zero-carbon energy pathways using viable mixes of nuclear and renewables," Applied Energy, Elsevier, vol. 143(C), pages 451-459.
    19. 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).
    20. Kim, Philseo & Kim, Jihee & Yim, Man-Sung, 2022. "Assessing proliferation uncertainty in civilian nuclear cooperation under new power dynamics of the international nuclear trade," Energy Policy, Elsevier, vol. 163(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:eee:reensy:v:241:y:2024:i:c:s0951832023005720. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.