火灾高温后钢筋混凝土梁的残余抗弯承载力预测

刘召伟; 郭星星; 韩岩青; 刘倩倩; 武宁; 刘朝峰

doi:10.13204/gyjzG22120508

火灾高温后钢筋混凝土梁的残余抗弯承载力预测

doi: 10.13204/gyjzG22120508

1. 中国路桥工程有限责任公司, 北京 100011;
2. 河北工业大学土木与交通学院, 天津 300401;
3. 青岛市地铁四号线有限公司, 山东青岛 266030;
4. 丰宁满族自治县交通运输局, 河北承德 068350

基金项目:

国家自然科学基金项目(52278472,52178487)；河北省自然科学基金项目(E2022202119)；河北省重点研发计划项目(20375506D)；山东省自然科学基金项目(ZR2021ME228)。

详细信息

作者简介:
刘召伟,男,1982年出生,高级工程师,硕士。

通讯作者:
刘朝峰,男,1984年出生,副教授,博士,liucf8403@126.com。

计量
- 文章访问数: 85
- HTML全文浏览量: 20
- PDF下载量: 1
- 被引次数: 0
出版历程
- 收稿日期: 2022-12-05

Prediction of Residual Flexural Capacity of Reinforced Concrete Beams After Fire

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

摘要

摘要: 为了研究火灾后RC梁的抗弯性能,考虑钢筋/混凝土界面黏结退化和混凝土高温爆裂特征,构建了RC梁的高温数值分析模型,并通过火灾试验验证数值分析模型的有效性。利用验证的数值分析模型建立由受火时间、爆裂深度、爆裂面积比与抗弯承载力组成的数值分析样本库,提出了火灾后RC梁的残余抗弯承载力的多元回归预测和SVM预测模型,并采用新工况样本数据进行验证。结果表明,两种预测方法的决定系数均大于0.9;与数值模拟结果相比,SVM预测的相对误差较小,在0.05%~4.05%之间,表明利用SVM预测火灾后RC梁残余抗弯承载力是可行的,且精度较高。
- 火灾 /
- 黏结性能 /
- 混凝土爆裂 /
- 钢筋混凝土梁 /
- 抗弯承载力 /
- 预测
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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参考文献(15)

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