Experimental study on bridge damage identification based on wavelet packet energy curvature difference method

This paper describes a study on damage identification using wavelet packet analysis and neural networks. The identification procedure could be divided into three steps. First, structure responses are decomposed into wavelet packet components. Then, the component energies are used to define damage feature and to train neural network models. Finally, in combination with the feature of the damaged structure response, the trained models are employed to determine the occurrence, the location and the qualification of the damage. The emphasis of this study is put on multi-damage case. Relevant issues are studied in detail especially the selection of training samples for multi-damage identification oriented neural network training. A frame model is utilized in the simulation cases to study the sampling techniques and the multi-damage identification. Uniform design is determined to be the most suitable sampling technique through simulation results. Identifications of multi-damage cases of the frame including different levels of damage at various locations are investigated. The results show that damages are successfully identified in all cases.

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Experimental study of structural damage identification based on WPT and coupling NN

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.2005.a0663 ◽

2005 ◽

Vol 6 (7) ◽

pp. 663-669 ◽

Cited By ~ 6

Author(s):

Guo Jian ◽

Chen Yong ◽

Sun Bing-nan

Keyword(s):

Experimental Study ◽

Structural Damage ◽

Damage Identification ◽

Structural Damage Identification

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Feasibility investigation of a bridge damage identification approach using vehicle-induced vibration response

Life-Cycle of Civil Engineering Systems - Life-Cycle of Structural Systems ◽

10.1201/b17618-59 ◽

2014 ◽

pp. 420-425

Author(s):

X He ◽

T Matsumoto ◽

T Hayashikawa ◽

F Catbas ◽

H Hattori ◽

...

Keyword(s):

Damage Identification ◽

Vibration Response ◽

Bridge Damage ◽

Identification Approach

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Damage Identification of Multi-span Bridge Structure Based on the Recognition of Influence Line

E3S Web of Conferences ◽

10.1051/e3sconf/202123303002 ◽

2021 ◽

Vol 233 ◽

pp. 03002

Author(s):

Zhang Yunkai ◽

Xie Qingli ◽

Li Guohua ◽

Ye Yuntao

Keyword(s):

Information Fusion ◽

Damage Identification ◽

Sensory Information ◽

Bridge Structure ◽

Damage Site ◽

Damage Location ◽

Influence Line ◽

Before And After ◽

Bridge Damage ◽

Combining Information

The stress and deflection effects of the line changes before and after the bridge damage are used as indicators to evaluate the bridge damage and the initial damage site. Then a method of combining information is proposed to improve the accuracy of the damage site. Three-span continuous reinforced concrete was used in the analysis. According to the test, the effectiveness of damage identification based on the damage change of the influence line and the feasibility of the damage location method based on multi-sensory information fusion are confirmed.

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