中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2021, Vol. 40 ›› Issue (02): 69-77.DOI: 10.3969/j.issn.1674-0696.2021.02.11

• 交通基础设施工程 • 上一篇    下一篇

基于时序分析的锈蚀RC拱损伤识别:仿真与验证

唐启智1,辛景舟1,2,周建庭1,付雷1,3,张俊4   

  1. (1. 重庆交通大学 土木工程学院,重庆 400074; 2. 广西交通投资集团有限公司,广西 南宁 530022; 3. 贵州桥梁建设集团有限责任公司,贵州 贵阳 550000; 4. 贵州毕节高速发展有限公司,贵州 毕节 551700)
  • 收稿日期:2019-11-21 修回日期:2020-01-09 出版日期:2021-02-16 发布日期:2021-02-16
  • 作者简介:唐启智(1995—),男,四川广安人,博士研究生,主要从事桥梁监测与评估方面的研究。E-mail:TangQizhi1015@163.com 通信作者:辛景舟(1989—),男,黑龙江大庆人,副教授,博士,主要从事大跨拱桥建造与监测维护方面的研究。E-mail:xinjz@cqjtu.edu.cn
  • 基金资助:
    国家自然科学基金项目(U20A20314,51908094);重庆市自然科学基金(cstc2020jcyj-msxmX0532);贵州省科技计划项目(黔科合支撑〔2018〕2154)

Damage Identification of Corroded RC Arch Based on Time Series Analysis:Simulation and Verification

TANG Qizhi1, XIN Jingzhou1,2, ZHOU Jianting1, FU Lei1,3, ZHANG Jun4   

  1. (1.School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. Guangxi Communications Investment, Group Co., Ltd., Nanning 530022, Guangxi, China; 3. Guizhou Bridge Construction Group Co. LTD, Guiyang 550000, Guizhou, China; 4.Guizhou Bijie High Speed Development Co., Ltd., Bijie 551700, Guizhou, China)
  • Received:2019-11-21 Revised:2020-01-09 Online:2021-02-16 Published:2021-02-16

摘要: 针对钢筋锈蚀导致的钢筋混凝土(RC)拱桥结构损伤问题,提出了基于加速度数据时序分析的锈蚀RC拱桥损伤识别方法。首先,考虑钢筋锈蚀等材料劣化因素,建立了钢筋锈蚀与结构刚度退化的映射关系;其次,借助ANSYS软件平台,建立了考虑初始刚度损伤的劣化RC拱肋有限元模型,并与试验数据进行了对比,验证了锈后有损结构有限元仿真的有效性;随后,基于经试验验证后的数值模型,得到了不同损伤工况下的RC拱加速度响应;然后,利用加速度响应建立时序模型,将待识别工况与完好工况的模型残差的方差之比作为损伤特征指标,获取了锈蚀率与损伤特征指标之间的定量关系,给出了针对不同钢筋直径的计算模式;最后,将室内模型试验的实测数据送入所建立的定量关系进行预测,计算结果与实测结果相差2.86%,进一步验证了所提方法的有效性。

关键词: 桥梁工程, 钢筋混凝土拱, 损伤识别, 时间序列, 锈蚀

Abstract: Aiming at the structural damage problem of RC arch bridge caused by steel corrosion, a method for damage identification of the corroded RC arch bridge based on time series analysis of acceleration data was proposed. Firstly, the mapping relationship between steel corrosion and structural stiffness degradation was established by considering the material deterioration factors such as steel corrosion. Secondly, with the help of ANSYS software platform, the finite element model of the deteriorated RC arch rib considering the initial stiffness damage was established and compared with the experimental data, and the effectiveness of the finite element simulation of the corrosion-damaged structure was verified. Then, based on the numerical model verified by experiments, the acceleration responses of RC arch under different damage conditions were obtained. After that, the time series model was established by using the acceleration response, and the ratio of the variance of the model residuals of the condition to be identified and the intact condition was taken as the damage characteristic index. The quantitative relationship between the corrosion rate and the damage characteristic index was obtained, and the calculation models for different reinforcement diameters were given. Finally, the measured data from the indoor model test were fed into the established quantitative relationship for prediction. The difference between the calculated results and the measured results is 2.86%, which further verifies the effectiveness of the proposed method.

Key words: bridge engineering, reinforced concrete arch, damage identification, time series, corrosion

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