Prediction of Residual Flexural Capacity of Reinforced Concrete Beams After Fire

LIU Zhaowei; GUO Xingxing; HAN Yanqing; LIU Qianqian; WU Ning; LIU Chaofeng

doi:10.13204/gyjzG22120508

Volume 53 Issue 11

Nov. 2023

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LIU Zhaowei, GUO Xingxing, HAN Yanqing, LIU Qianqian, WU Ning, LIU Chaofeng. Prediction of Residual Flexural Capacity of Reinforced Concrete Beams After Fire[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(11): 221-225. doi: 10.13204/gyjzG22120508

Citation:

LIU Zhaowei, GUO Xingxing, HAN Yanqing, LIU Qianqian, WU Ning, LIU Chaofeng. Prediction of Residual Flexural Capacity of Reinforced Concrete Beams After Fire[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(11): 221-225. doi: 10.13204/gyjzG22120508

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Prediction of Residual Flexural Capacity of Reinforced Concrete Beams After Fire

doi: 10.13204/gyjzG22120508

1. China Road and Bridge Engineering Co., Ltd., Beijing 100011, China;
2. Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China;
3. Qingdao Metro Line Co., Ltd., Qingdao 266030, China;
4. Transportation Bureau, Fengning Manchu Autonomous County, Chengde 068350, China

Received Date: 2022-12-05

Abstract

Abstract

In order to study the bending performance of reinforced concrete (RC) beams after fire, a high temperature numerical analysis model of RC beams was established considering the bond degradation between rebar and concrete and the characteristics of concrete spalling, and the validity of the numerical analysis model was verified by fire test. Based on the verified numerical analysis model, a numerical analysis sample library consisting of fire exposure time, spalling depth, spalling area ratio and flexural capacity was established. The multiple regression prediction method and SVM prediction model of residual flexural capacity of RC beams after fire were proposed. The new working condition sample data were used for verification. The results showed that the coefficient of determination of the two prediction methods were greater than 0.9. Compared with the numerical simulation results, the relative error of SVM prediction was small, ranging from 0.05% to 4.05%, which indicated that it should be feasible and accurate to predict the residual flexural capacity of RC beams after fire by SVM.
- fire,
- bond performance,
- concrete spalling,
- RC beam,
- flexural capacity,
- prediction

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References(15)

References

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