Full-field FRF estimation from noisy high-speed-camera data using a dynamic substructuring approach

Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics

“…In particular, DIC is a class of non-contact methods that acquires images of an object and performs image analysis to extract the full-field shape, deformation, and motion of the object [40,41]. Compared with the PT method, which tracks the motion of a single or discrete set of points, DIC can extract full-field responses [42], and is advantageous when high spatial density is required [43]. In the context of structural dynamics, DIC has already been used to study the slip and separation of jointed interfaces [44,45], and the full-field motions of small-scale and full-size engineering structures [41,46].…”

Structural vibration mode identification from high-speed camera footages using an adaptive spatial filtering approach

“…Besides the typical LK-optical flow method, the simplified gradient-based optical flow is developed recently [28], which takes a subset or a pixel as an independent sensor and linearizes the relation between displacement and intensity. Afterwards, a hybrid identification method that combines a high-speed camera with accelerometers is developed [10], and recently a dynamic sub-structuring approach are applied to improve the mode shape accuracy [29].…”

Indirect Measurement of Loading Forces with High-Speed Camera

“…Vision-based methods are becoming crucial in the non-contact measurement of displacement and velocities of engineering structures [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ]. However, the use of special high-speed imaging technology is necessary if the dynamic response contains high frequencies, which cameras cannot correctly capture with standard frame rates.…”

“…Another approach to full-field FRF estimation from noise high-speed camera data was presented by Bregar et al [ 17 ]. The identified mode shapes from the least squares frequency domain method and accelerometer data were used to improve the experimental estimation of full-field FRFs using a dynamic substructuring approach.…”