Structural vibration testing and mode identification based on computer vision and video frame interpolation
Structural vibration testing and modal parameter identification are the two basic methods for struc-tural health monitoring(SHM)based on the dynamic properties of structures.Non-contact computer vision methods have been introduced to overcome the inconvenience of conventional contact testing,with increasing interest in methods that use smartphones as data acquisition devices.However,smartphone cameras often fail to meet the requirements due to performance limitations,which leads to a decrease in the accuracy of measure-ment results.To this end,an improved video frame interpolation algorithm,EQVI-T,was proposed along with an improved edge detection algorithm,which jointly improves the accuracy of the computation by increasing the frame rate of the original video and the proposed feature point tracking method.To validate the effectiveness of this method,it was applied to the monitoring of displacement response and identification of mo-dal parameters of a test chamber model,and quantitative and qualitative evaluations were performed.Experi-mental results show that the proposed method has significant advantages in improving measurement accuracy and precision,demonstrating its potential application in structural vibration testing.
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