Damage identification of footbridge based on computer vision

Abstract

Abstract: A noncontact damage identification scheme for footbridges based on computer vision is established to solve the problems of low-efficiency of the existing bridge vibration damage identification system and poor identification effect of small vibration. The phase-based motion magnification technique and the segmented optical flow method are combined with the additional mass method for structural damage identification to identify structural damage. The feasibility of the proposed method for structural vibration identification is verified by the experiments under three different working conditions on the laboratory footbridge model. The system can judge whether the structure is damaged and the location of damage by the change of modal MAC values and mode shapes. The results show that the modal information of the footbridge in the vibration time-history is more complete and accurate than that of the HS optical flow method under the three conditions, and successfully identifies both the presence and location of structural damage, which can reach the second level of damage quality evaluation of engineering structures. The scheme has a wide application prospect for its robustness and economics.

Key words: computer vision, damage identification, optical flow method, motion magnification, non-contact

CLC Number:

U441

CUI De-peng, WANG Cui-yun, ZHU Qian-kun. Damage identification of footbridge based on computer vision[J]. Journal of Lanzhou University of Technology, 2025, 51(6): 116-124.

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