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Performance-based probabilistic deflection capacity models and fragility estimation for reinforced concrete column and beam subjected to blast loading

Author

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  • Kishore, Katchalla Bala
  • Gangolu, Jaswanth
  • Ramancha, Mukesh K.
  • Bhuyan, Kasturi
  • Sharma, Hrishikesh

Abstract

Due to the mounting of ongoing anti-social activities of explosions and inaccuracy of codes (UFC 3-340-02, Eurocode 1, IS 4991) current study has developed performance-based capacity models for Reinforced Concrete (RC) column/beam subjected to near field blast. The chosen three performance levels are deflection based and allied with four damage states of target (elastic limit with minimal damage, elasto-plastic with moderate damage, ultimate limit with total collapse). To estimate deflection levels, a numerical method LS-DYNA is used to acquire data using Arbitrary Lagrangian-Eulerian (ALE) method. Four models are accurately validated with experimental results and chosen parameters are deflection, damage pattern and pressure achieved. The deflection of the RC beam/column subjected to blast is reproduced with combination of mechanical model (UFC 3-340-02 code) and dimensionless explanatory functions. These functions are used to develop six probabilistic models for RC beam/column subjected to blast loading grounded on Bayesian inference and posterior statistics. These models account for all aleatoric and epistemic uncertainties in dynamic blast events. The estimated capacity models are compared with experimentation, and acquired results show the reliability of the probabilistic equations. This study also assessed fragility for three levels of normalized deflection demand and obtained plots are well authenticated.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:227:y:2022:i:c:s0951832022003532
    DOI: 10.1016/j.ress.2022.108729
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    References listed on IDEAS

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    1. Qian, Gengjian & Massenzio, Michel & Brizard, Denis & Ichchou, Mohamed, 2019. "Sensitivity analysis of complex engineering systems: Approaches study and their application to vehicle restraint system crash simulation," Reliability Engineering and System Safety, Elsevier, vol. 187(C), pages 110-118.
    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. Marks, Nicholas A & Stewart, Mark G. & Netherton, Michael D. & Stirling, Chris G., 2021. "Airblast variability and fatality risks from a VBIED in a complex urban environment," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    4. 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).
    5. Stewart, Mark G. & Netherton, Michael D., 2019. "A probabilistic risk-acceptance model for assessing blast and fragmentation safety hazards," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    6. Kammouh, Omar & Gardoni, Paolo & Cimellaro, Gian Paolo, 2020. "Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    7. 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.
    8. Xue, Jiayue & Mohammadi, Farshad & Li, Xin & Sahraei-Ardakani, Mostafa & Ou, Ge & Pu, Zhaoxia, 2020. "Impact of transmission tower-line interaction to the bulk power system during hurricane," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    9. 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).
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