CLC number: TU312
On-line Access: 2021-06-21
Received: 2020-06-12
Revision Accepted: 2020-08-26
Crosschecked: 2021-05-20
Cited: 0
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Aydin Shishegaran, Mehdi Moradi, Mohammad Ali Naghsh, Behnam Karami, Arshia Shishegaran. Prediction of the load-carrying capacity of reinforced concrete connections under post-earthquake fire[J]. Journal of Zhejiang University Science A, 2021, 22(6): 441-466.
@article{title="Prediction of the load-carrying capacity of reinforced concrete connections under post-earthquake fire",
author="Aydin Shishegaran, Mehdi Moradi, Mohammad Ali Naghsh, Behnam Karami, Arshia Shishegaran",
journal="Journal of Zhejiang University Science A",
volume="22",
number="6",
pages="441-466",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2000268"
}
%0 Journal Article
%T Prediction of the load-carrying capacity of reinforced concrete connections under post-earthquake fire
%A Aydin Shishegaran
%A Mehdi Moradi
%A Mohammad Ali Naghsh
%A Behnam Karami
%A Arshia Shishegaran
%J Journal of Zhejiang University SCIENCE A
%V 22
%N 6
%P 441-466
%@ 1673-565X
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2000268
TY - JOUR
T1 - Prediction of the load-carrying capacity of reinforced concrete connections under post-earthquake fire
A1 - Aydin Shishegaran
A1 - Mehdi Moradi
A1 - Mohammad Ali Naghsh
A1 - Behnam Karami
A1 - Arshia Shishegaran
J0 - Journal of Zhejiang University Science A
VL - 22
IS - 6
SP - 441
EP - 466
%@ 1673-565X
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2000268
Abstract: Finding out the most effective parameters relating to the resistance of reinforced concrete connections (RCCs) is an important topic in structural engineering. In this study, first, a finite element (FE) model is developed for simulating the performance of RCCs under post-earthquake fire (PEF). Then surrogate models, including multiple linear regression (MLR), multiple natural logarithm (Ln) equation regression (MLnER), gene expression programming (GEP), and an ensemble model, are used to predict the remaining load-carrying capacity of an RCC under PEF. The statistical parameters, error terms, and a novel statistical table are used to evaluate and compare the accuracy of each surrogate model. According to the results, the ratio of the longitudinal reinforcement bars of the column (RLC) has a significant effect on the resistance of an RCC under PEF. Increasing the value of this parameter from 1% to 8% can increase the residual load-carrying capacity of an RCC under PEF by 492.2% when the RCC is exposed to fire at a temperature of 1000 °C. Moreover, based on the results, the ensemble model can predict the residual load-carrying capacity with suitable accuracy. A safety factor of 1.55 should be applied to the results obtained from the ensemble model.
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