Research on Bridge Damage Identification Method Based on Dynamic Characteristics

Yapeng Liu *

School of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

*Author to whom correspondence should be addressed.


Abstract

The identification of bridge structural damage can be divided into four processes: determining whether there is damage, determining the location of the damage, determining the degree of damage, and evaluating the load-bearing capacity of the bridge structure after the damage occurs. The dynamic response data takes modal parameters as characteristic parameters, and the modal parameters of the bridge structure are independent of external loads, reflecting the structural characteristics of the structure itself. This article introduces five methods for damage identification based on dynamic characteristics, analyzes the identification principles, characteristics, and applications of each method, and summarizes their application conditions.

Keywords: Damage identification, frequency, vibration mode, modal strain energy


How to Cite

Liu, Y. (2023). Research on Bridge Damage Identification Method Based on Dynamic Characteristics. Journal of Engineering Research and Reports, 25(8), 87–93. https://doi.org/10.9734/jerr/2023/v25i8961

Downloads

Download data is not yet available.

References

Yunkai Z, Xixue T, Guohua L, et al. Bridge structure damage identification based on dynamic characteristics [J]. Coatings. 2022;12(3).

Zhao Zuhuai. Exploring the maintenance and countermeasures of highway bridges [J]. Low Carbon World, 2023;13(01):120-122.

Editorial Department of China Highway Journal. Academic Research Review of China Bridge Engineering. 2021 [J]. China Highway Journal, 2021;34(02):1-97.

Wang Jianwei. Modal testing and dynamic load test analysis of a newly built bridge [J]. Shanxi Architecture. 2021;47(20):153-155.

Li Wenjing, Zhang Kun. Analysis of dynamic characteristics of cable-stayed bridges [J]. Journal of Sichuan University of Technology (Natural Science Edition). 2008;(05):105-107.

Liu Wenguang, Guo Longqing, He Honglin, et al. Damage identification method for breathing crack beams based on natural frequency [J]. China Mechanical Engineering, 2017;28(06).

Du Siyi, Yin Xuegang, Chen Huai. Structural damage identification method based on second-Order frequency perturbation [J]. Journal of Applied Mechanics. 2006;(04).

Lou Guobiao. Local excitation detection method for frame structures [D]. Shanghai: Tongji University; 1999.

Yue Yanfang. Research on structural damage detection method based on dynamic analysis [D]. Nanjing: Southeast University; 2004.

Hou Yongle, Li Chuanliang, Chang Pinyao. Analysis of structural damage identification research methods based on dynamic characteristics [J]. Shanxi Architecture. 2022;48(15):74-77.

Lu Weiwei. Damage identification of prefabricated bridges based on vibration mode parameters [J]. Science and Technology Innovation, 2019;(35):120-121.

Geng Dong, Wang Le, Jiang Peng. Research on strain modal mode identification of beam bridges [J]. Science and Technology Innovation and Application. 2022;12(17):64-67.

Zhang Kun. Research on bridge damage identification method based on mode difference curvature [D]. Chongqing Jiaotong University; 2013.

Wu Duo, Liu Laijun. Bridge damage identification based on curvature mode curve changes [J]. Journal of Building Science and Engineering. 2018;35(2):119-126.

Xu Feihong, Zhu Jian, Zhang Tingting. Structural damage identification method based on curvature mode curves [J]. World Earthquake Engineering. 2015;31(4): 36-42.

Li Jiankang, Zhang Chunli, Xie Xingxing. Application of curvature modes based on Chebyshev polynomials in structural damage detection [J]. Journal of Vibration Engineering, 2006(2): 553-558.

Ding Ke. Application of curvature modal wavelet analysis in bridge damage detection [J]. Noise and Vibration Control. 2013;33(05):131-135.

Yi Xiaogang. Application of bridge damage identification method based on flexibility matrix [J]. China Water Transport (Theoretical Edition). 2007;(03):44-45.

Xie Shaopeng. Structural damage identification based on generalized modal flexibility matrix [D]. Guangdong University of Technology; 2020.

Yang Hua. Structural damage identification based on flexibility matrix method [J]. Journal of Changchun University of Technology. 2005;(04):22-23+18.

Zhu X, Cao M, Ostachowicz W, et al. Damage identification in bridges by processing dynamic responses to moving loads: Features and Evaluation [J]. Sensors. 2019;19(3).

Lin Ruihui. Analysis of structural damage identification algorithm based on modal strain energy [J]. Fujian Transportation Technology. 2022;(02):48-51.

Ma Liyuan, Guo Junlong, Li Yongjun. Structural damage identification method based on modal strain energy curvature difference [J]. Journal of Naval Engineering University. 2015; 27(6):83-86.

Shaoqing Wu, Jixiang Zhou. Reformulation of elemental modal strain energy method based on strain modes for structural damage detection [J]. Advances in Structural Engineering. 2016;20(6):896-905.

Wang Zijie. Structural damage identification based on modal strain energy basis index [J]. China Water Transport (Second Half of the Month). 2023;23 (08):47-49.