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Reliability Assessment of Reinforced Concrete Beams under Elevated Temperatures: A Probabilistic Approach Using Finite Element and Physical Models

Author

Listed:
  • János Szép

    (Department of Structural and Geotechnical Engineering, Széchenyi István University, H-9026 Gyor, Hungary)

  • Muayad Habashneh

    (Department of Structural and Geotechnical Engineering, Széchenyi István University, H-9026 Gyor, Hungary)

  • János Lógó

    (Department of Structural Mechanics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary
    Department of Highway and Railway Engineering, Budapest University of Technology and Economics, H-1111 Budapest, Hungary)

  • Majid Movahedi Rad

    (Department of Structural and Geotechnical Engineering, Széchenyi István University, H-9026 Gyor, Hungary)

Abstract

A novel computational model is proposed in this paper considering reliability analysis in the modelling of reinforced concrete beams at elevated temperatures, by assuming that concrete and steel materials have random mechanical properties in which those properties are treated as random variables following a normal distribution. Accordingly, the reliability index is successfully used as a constraint to restrain the modelling process. A concrete damage plasticity constitutive model is utilized in this paper for the numerical models, and it was validated according to those data which were gained from laboratory tests. Detailed comparisons between the models according to different temperatures in the case of deterministic designs are proposed to show the effect of increasing the temperature on the models. Other comparisons are proposed in the case of probabilistic designs to distinguish the difference between deterministic and reliability-based designs. The procedure of introducing the reliability analysis of the nonlinear problems is proposed by a nonlinear code considering different reliability index values for each temperature case. The results of the proposed work have efficiently shown how considering uncertainties and their related parameters plays a critical role in the modelling of reinforced concrete beams at elevated temperatures, especially in the case of high temperatures.

Suggested Citation

  • János Szép & Muayad Habashneh & János Lógó & Majid Movahedi Rad, 2023. "Reliability Assessment of Reinforced Concrete Beams under Elevated Temperatures: A Probabilistic Approach Using Finite Element and Physical Models," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6077-:d:1113092
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    References listed on IDEAS

    as
    1. Edosa Megarsa & Goshu Kenea & Piero Colajanni, 2022. "Numerical Investigation on Shear Performance of Reinforced Concrete Beam by Using Ferrocement Composite," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, April.
    2. Hae-Chang Cho & Sun-Jin Han & Inwook Heo & Hyun Kang & Won-Hee Kang & Kang Su Kim, 2020. "Heating Temperature Prediction of Concrete Structure Damaged by Fire Using a Bayesian Approach," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
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    Cited by:

    1. Alaa Fahad Mashshay & S. Komeil Hashemi & Hamidreza Tavakoli, 2023. "Post-Fire Mechanical Degradation of Lightweight Concretes and Maintenance Strategies with Steel Fibers and Nano-Silica," Sustainability, MDPI, vol. 15(9), pages 1-16, May.

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