VISION AND VIBRATION DATA FUSION-BASED STRUCTURAL DYNAMIC DISPLACEMENT MEASUREMENT WITH TEST VALIDATION

The dynamic measurement and identification of structural deformation are of great significance for structural health monitoring and performance assessment. Traditional contact-type displacement monitoring inevitably requires the arrangement of measurement points on physical structures as well as the setting of stable reference systems, limiting the application of dynamic displacement measurement of structures in practice. Computer vision-based structural displacement monitoring has the advantage of non-contact measurement, simple installation, and relatively low cost. However, the existing displacement identification methods are still influenced by lighting conditions, image resolution, and shooting-rate, which restricts its engineering applications. In order to take advantage of the high dynamic sampling rate of the traditional contact acceleration sensor, the concept of 'contact acceleration monitoring and non-contact displacement recognition' was proposed and an accurate estimation method for the critical dynamic deformation state of the structure was constructed. The proposed method is validated through a 1/2 scale reinforced concrete frame structure. The results show that the method can improve the displacement sampling rate and collect high-frequency vibration information compared with a single structural displacement visual measurement technique.