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Probabilistic capacity models and fragility estimate for NRC and UHSC panels subjected to contact blast

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  • Bhuyan, Kasturi
  • Sharma, Hrishikesh

Abstract

A Performance-based Design (PBD) framework for protective structural walls/slabs susceptible to contact blast has been developed. Performance-based capacity models are predicted for three performance levels namely, operation with minimum damage (P1), medium damage (P2) and collapse prevention (P3) allied to four damage states. The current study examines multi-level PBD instead of single-level conventional collapse-based design. All these probabilistic models are developed by combining mechanical models with dimensionless explanatory functions. Bayesian inference based on numerical data is used to evaluate the unknown model parameters. The constructed models take into account all inherent aleatoric and epistemic uncertainties of material and geometry. For Normal Reinforced Concrete (NRC) and Ultra-high Strength Concrete (UHSC) panels subjected to contact blast, finite element (FE) modelling (LS-DYNA) is used to obtain the necessary data. The validated models have a high level of agreement with chosen experimentation. In addition, local damage formulations, such as crater diameter, crater depth, spall diameter, spall depth, and perforation diameter, are also developed. The developed capacity models are used to estimate fragility, and the obtained plots demonstrate the consistency of the evaluated equations. When subjected to a contact blast, these probabilistic models can be used to construct protective structures based on the expected demand.

Suggested Citation

  • Bhuyan, Kasturi & Sharma, Hrishikesh, 2024. "Probabilistic capacity models and fragility estimate for NRC and UHSC panels subjected to contact blast," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
  • Handle: RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023005975
    DOI: 10.1016/j.ress.2023.109683
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    1. Li, Xin & Chen, Chao & Hong, Yi-du & Yang, Fu-qiang, 2023. "Exploring hazardous chemical explosion accidents with association rules and Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    2. 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).
    3. Nguyen, Hoang & Bui, Xuan-Nam & Topal, Erkan, 2023. "Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    4. Li, Jin-Yang & Lu, Jubin & Zhou, Hao, 2023. "Reliability analysis of structures with inerter-based isolation layer under stochastic seismic excitations," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    5. Tran, Huy T. & Balchanos, Michael & Domerçant, Jean Charles & Mavris, Dimitri N., 2017. "A framework for the quantitative assessment of performance-based system resilience," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 73-84.
    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. Bernier, Carl & Padgett, Jamie E., 2019. "Fragility and risk assessment of aboveground storage tanks subjected to concurrent surge, wave, and wind loads," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    8. Salman, Abdullahi M. & Li, Yue & Stewart, Mark G., 2015. "Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 319-333.
    9. Dai, Lijuan & Ehlers, Sören & Rausand, Marvin & Utne, Ingrid Bouwer, 2013. "Risk of collision between service vessels and offshore wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 18-31.
    10. 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).
    11. Choe, Do-Eun & Gardoni, Paolo & Rosowsky, David & Haukaas, Terje, 2008. "Probabilistic capacity models and seismic fragility estimates for RC columns subject to corrosion," Reliability Engineering and System Safety, Elsevier, vol. 93(3), pages 383-393.
    12. Ferrario, E. & Zio, E., 2014. "Assessing nuclear power plant safety and recovery from earthquakes using a system-of-systems approach," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 103-116.
    13. Zhang, Qiang & Zhao, Yan-Gang & Kolozvari, Kristijan & Xu, Lei, 2022. "Reliability analysis of reinforced concrete structure against progressive collapse," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    14. Li, Xiaofeng & Chen, Guohua & Amyotte, Paul & Khan, Faisal & Alauddin, Mohammad, 2023. "Vulnerability assessment of storage tanks exposed to simultaneous fire and explosion hazards," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    15. 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).
    16. 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).
    17. 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).
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