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Heating Temperature Prediction of Concrete Structure Damaged by Fire Using a Bayesian Approach

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  • Hae-Chang Cho

    (Department of Architectural Engineering, University of Seoul, 163 Siripdae-ro, Dongdaemun-gu, Seoul 02504, Korea)

  • Sun-Jin Han

    (Department of Architectural Engineering, University of Seoul, 163 Siripdae-ro, Dongdaemun-gu, Seoul 02504, Korea)

  • Inwook Heo

    (Department of Architectural Engineering, University of Seoul, 163 Siripdae-ro, Dongdaemun-gu, Seoul 02504, Korea)

  • Hyun Kang

    (Korea Institute of Civil Engineering & Building Technology (KICT), 182-64 Mado-ro, Mado-myeon, Hwaseong 18544, Korea)

  • Won-Hee Kang

    (Centre for Infrastructure Engineering, Western Sydney University, Locked Bag 1797, Penrith South DC NSW 2751, Australia)

  • Kang Su Kim

    (Department of Architectural Engineering, University of Seoul, 163 Siripdae-ro, Dongdaemun-gu, Seoul 02504, Korea)

Abstract

A fire that occurs in a reinforced concrete (RC) structure accompanies a heating temperature, and this negatively affects the concrete material properties, such as the compressive strength, the bond between cement paste and aggregate, and the cracking and spalling of concrete. To appropriately measure the reduced structural performance and durability of fire-damaged RC structures, it is important to accurately estimate the heating temperature of the structure. However, studies in the literature on RC structures damaged by fire have focused mostly on structural member tests at elevated temperatures to ensure the fire resistance or fire protection material development; studies on estimating the heating temperature are very limited except for the very few existing models. Therefore, in this study, a heating temperature estimation model for a reinforced concrete (RC) structure damaged by fire was developed using a statistical Bayesian parameter estimation approach. For the model development, a total of 77 concrete test specimens were utilized; based on them, a statistically highly accurate model has been developed. The usage of the proposed method in the framework of the 500 °C isotherm method in Eurocode 2 has been illustrated through an RC column resistance estimation application.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4225-:d:361220
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    References listed on IDEAS

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    1. Inwook Heo & Hyun Kang & Deuck Hang Lee & Jae-Yuel Oh & Jungmin Lee & Kang Su Kim, 2016. "Performance-based fire behaviour analysis for underground parking structures," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(sup1), pages 90-100, July.
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    Cited by:

    1. 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.
    2. Xiankai Quan & Wenhua Guo & Jun Tian & Weiguo Zhang, 2023. "Investigation on Effect of Reflective Coating on Temperature Field of CRTS Ⅱ Slab Ballastless Track under Sunlight," Sustainability, MDPI, vol. 15(2), pages 1-19, January.

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