Abstract
Mobile phones have the potential to become useful tool in structural modal identification. In this paper, shaking table test videos of a 10-story steel structure captured by mobile phone is processed using computer vision theory and then the modal parameters are identified. A signal processing method based on variational mode decomposition (VMD) is used to improve the accuracy of identification. Using optical flow algorithm, the vibration data is extracted from the video, and then the response of the structure is obtained from the vibration data of selected feature points. Then, the vibration data is processed by VMD and structural modal parameters (mode frequency and mode shapes) are identified using FFD. Finally, the identification results obtained from mobile phone and professional sensors are compared to verify feasibility and accuracy of the proposed modal identification method.
Highlights
Structural modal identification is an important means to evaluate structural performance and safety and a basic method for structural damage detection and health monitoring
In this paper, videoing the shaking table test by mobile phone camera, a modal identification method based on computer vision and variational mode decomposition (VMD) is proposed
1) Vibration data extracted from smartphone video using the computer vision technology can meet the requirements of measurement, which has high accuracy and precision
Summary
Structural modal identification is an important means to evaluate structural performance and safety and a basic method for structural damage detection and health monitoring. Because of the high cost and complex arrangements of the measuring points, non-contact structural vibration measurement based on computer vision methods has gradually become a research focus in recent years. The vibration measurement based on computer vision theory show great potential, and the non-contact sensor for modal identification is feasible [1]. Most of the dynamic detections based on vision uses high speed and high-resolution cameras [2, 3] as testing tools, which can obtain more response signal. The feasibility and accuracy of the method is verified by adopting it to the shaking table test of a 10-story steel structure
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