Bridge Damage Identification and Assessment Method Based on Strain Ratio

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Abstract The bridge health monitoring system is being increasingly applied to bridge structure monitoring nowadays. However, due to the limitation in monitoring means and data analysis methods, many deficiencies still exist in the analysis and utilization of the monitoring data of bridge structures. In particular, damage identification and assessment technology is far from reaching the practical stage, and this restricts the development of the overall health monitoring technology. On the basis of the analysis of the strain responses of a bridge under vehicle load by using the theory of bridge strain influence line, we put forward a bridge damage identification and evaluation method based on strain ratio. The stiffness degradation matrix of the structure is deduced using the strain ratio of the corresponding parts of the test and reference sections, and the strain ratio and stiffness degradation matrices are accurately obtained using the load effect of test vehicles under closed traffic conditions. By analyzing a large amount of monitoring data in combination with the theory of random signal analysis and statistical technology, we analyze the probability distribution of the strain ratio and perform damage identification of the test section in accordance with the change in strain ratio distribution. A rapid damage identification method for the test section under closed and open traffic conditions is also proposed. The analysis reveals that the mode of the strain ratio is unchanged when the test section does not experience damage in a certain monitoring period under traffic load. We apply this method to a bridge health monitoring system and adopt Qingyin Yellow River Bridge in Jinan as an example to verify the effectiveness of the method. Results show that the method is efficient, accurate, and universal and can realize rapid and accurate online identification and assessment of bridge damage in closed and normal traffic conditions.

Key words： bridge engineering damage identification strain ratio bridge structure evaluation method health monitoring

Received: 28 September 2020

Corresponding Authors: YANG Shu-ren E-mail: shuren986@163.com

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	YANG Shu-ren
	DING Song

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YANG Shu-ren,DING Song. Bridge Damage Identification and Assessment Method Based on Strain Ratio[J]. Journal of Highway and Transportation Research and Development, 2021, 15(1): 45-56.

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http://journal10.magtechjournal.com/Jwk_gljtkj_en/EN/ OR http://journal10.magtechjournal.com/Jwk_gljtkj_en/EN/Y2021/V15/I1/45

[1] WEI Xin-liang, WANG Zhen-hong. The Current Development Situation and Trend of Monitoring Technology for Bridge Health[J].Journal of Railway Engineering Society,2008,25(9):44-47. (in Chinese)
[2] SUN Li-min, SHANG Zhi-qiang, XIA Ye. Development and Prospect of Bridge Structural Health Monitoring in the Context of Big Data[J].China Journal of Highway and Transport,2019,32(11):1-20. (in Chinese)
[3] WANG Ming-jun, WANG Zhan,CHEN Bing-cong, et al. Review of Development of Bridge Health Monitoring System[J].Urban Roads Bridges & Flood Control,2019,36(11):53-56. (in Chinese)
[4] SU Bin-jian. Research on Damage Identification of Beam Structure Based on Dynamic Characteristics[D]. Xiangtan:Xiangtan University,2018. (in Chinese)
[5] YANG Hua. Structural Damage Identification Based on Flexibility Matrix Method[J].Journal of Jilin University:Science Edition, 2008,54(2):242-244. (in Chinese)
[6] LIU Qing. Research on Bridge Structural Damage Identification Based on Compliance Coefficient[D].Tianjin:Hebei University of Technology,2015. (in Chinese)
[7] SUN Guo,GU Yuan-xian. Improved Flexibility Matrix Method for Damage Identification of Multi-span Beams[J]. Engineering Mechanics, 2003,20(4):857-868. (in Chinese)
[8] WANG Feng. Research on Bridge Damage Identification Based on Modal Strain Energy[D].Changsha:Changsha University of Science & Technology,2006. (in Chinese)
[9] AI Ye-qing,WANG Gen-hui,ZHU Shang-qing. Study of Bridge Structure Damage Diagnosis Based on Improved BP Neural Network[J].Journal of Lanzhou Jiaotong University:Natural Science Edition,2005, 24(3):44-47. (in Chinese)
[10] GUO Jian. Study of Structural Damage Identification Based on Wavelet Analysis[D].Hangzhou:Zhejiang University,2004. (in Chinese)
[11] CAI Zheng-dong. Research on Bridge Structural Damage Identification Method Based on Wavelet Analysis[D].Wuhan:Wuhan University of Technology, 2007. (in Chinese)
[12] WU Gan. Research on Bridge Structure Damage Identification Based on Wavelet Analysis[D]. Zhengzhou:North China University of Water Resources and Electric Power,2016. (in Chinese)
[13] CHEN Jing, GE Wen-xuan. Calculation of Influence Lines of Internal Forces with Application of Finite Element[J].Journal of Nantong University:Natural Science Edition, 2007,6(2):30-33,37. (in Chinese)
[14] LU Guang-sen. Wavelet Denoising and Optimization Based on Improved Threshold Function[D]. Kunming:Kunming University of Science and Technology,2017. (in Chinese)
[15] SHI Zhi-xiao,LI Xin, ZHOU Jing. Damage Detection Using Empirical Mode Decomposition[J].Journal of Dalian University of Technology,2005,45(3):401-404. (in Chinese)
[16] LUO Miao, YAO Yun-ping. An Examination on Selection of Small Porgy and Thresholds during Signal Noise Reduction[J].Machinery,2015,53(12):42-45. (in Chinese)
[17] LIU Mi-ge. Research on Sampling Theorem[J].Journal of Xi'an University:Natural Science Edition, 2019,22(5):64-68. (in Chinese)
[18] WU Meng-chang. Coupled Vibration Analysis of Highway Bridge Based on Random Traffic Flow[D].Wuhan:Huazhong University of Science and Technology,2018. (in Chinese)
[19] ZHU Gan-jiang. Application of Non-parametric Density Estimation in Discriminant Analysis[D].Nanjing:Nanjing University of Information,2007. (in Chinese)