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

Hae-Chang Cho, Sun-Jin Han, Inwook Heo, Hyun Kang, Won-Hee Kang and Kang Su Kim
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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

Sustainability, 2020, vol. 12, issue 10, 1-17

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.

Keywords: Bayesian parameter estimation; heating temperature; reinforced concrete; fire (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:10:p:4225-:d:361220

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