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RC梁钢筋锈蚀监测与概率成像定位
引用本文:王娟,姜绍飞,崔二江,查忍. RC梁钢筋锈蚀监测与概率成像定位[J]. 哈尔滨工业大学学报, 2022, 54(4): 161-170
作者姓名:王娟  姜绍飞  崔二江  查忍
作者单位:福州大学 土木工程学院,福州 350108
基金项目:国家十三五重点专项课题(2020YFD110006-03);福建省科技厅产学合作项目(2017Y4012)
摘    要:为评估RC结构内钢筋的锈蚀损伤状态,开展了基于压电传感的RC梁钢筋锈蚀监测与定位技术研究.首先,在钢筋表面布设3组压电陶瓷(PZT)传感器,随后对监控到的信号进行基4FFT变换和提取频谱特征,刻画了钢筋锈蚀发展过程,并验证了基于PZT的监控方法对钢筋锈蚀全过程监测的适用性;其次,通过对概率成像方法中的权重函数进行修正,...

关 键 词:RC梁  压电传感  钢筋锈蚀监测  频谱分析  概率成像
收稿时间:2021-05-18

Corrosion monitoring and probabilistic imaging location of steel bars in RC beams
WANG Juan,JIANG Shaofei,CUI Erjiang,ZHA Ren. Corrosion monitoring and probabilistic imaging location of steel bars in RC beams[J]. Journal of Harbin Institute of Technology, 2022, 54(4): 161-170
Authors:WANG Juan  JIANG Shaofei  CUI Erjiang  ZHA Ren
Affiliation:College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
Abstract:To further evaluate the corrosion conditions of steel bars in RC structures, the monitoring and location technology for the corroded steel bars in RC beams was investigated based on piezoelectric sensors. Firstly, three pairs of piezoelectric lead zirconate titanate (PZT) sensors were arranged on the surface of the steel bar, then the monitored signals were processed by Radix-4 FFT, and the frequency spectrum features were extracted to figure out the development trend of the corrosion process. Meanwhile, the applicability of the PZT-based monitoring method for the overall corrosion process of steel bars was verified. Secondly, for the purpose of locating the corrosion positions of the steel bar, the weight function of the probabilistic imaging method was modified to obtain the position image of the corroded steel bar. Finally, the peak signal in the frequency domain was analyzed, and the relationship between the damage factor (FDI) and the corrosion rate was established to quantify the corrosion degree of the steel bar. Results show that the corrosion process of steel bars in RC beams could be divided into three phases: depassivation phase, debonding phase, and failure phase; the proposed damage factor (FDI) could effectively depict the three phases in the corrosion process of steel bars and quantify the corrosion rate of steel bars; the probabilistic imaging method could realize whole-process monitoring and analyze the corrosion positions of the steel bars. It indicates that the monitoring technology and the probabilistic imaging method can accurately monitor the overall process and locate the corrosion positions of steel bars in RC structures. The relationship between each phase of the whole process and the damage factor (FDI) can quantify the steel corrosion rate, which can provide technical support for the safety assessment of RC structures.
Keywords:RC beam   piezoelectric sensor   corrosion monitoring of steel bar   frequency spectrum analysis   probabilistic imaging
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