Abstract
The three-dimensional digital image correlation (3D DIC) method in conjunction with a stereo-vision system can provide the full-field dynamic displacements of a structure with sub-pixel accuracy. However, stereo-photogrammetry systems are limited by camera resolution and intrinsic noise of the acquired images. Thus, in order to use optical sensing techniques to identify dynamic characteristics of a structure at high frequencies, the signal-to-noise ratio (SNR) in the sequence of images taken with a stereo-vision system needs to be improved. Within this paper phase-based video magnification, in conjunction with 3D DIC are used to visualize the high frequency operating shapes of a cantilever beam. The magnified sequence of images using motion magnification technique are post-processed using 3D DIC to quantify infinitesimal deformation that is not recognizable using only digital image correlation. The results obtained within this paper reveal the great potential of extracting 3D operating shapes of a high frequency structure using the motion magnification and stereo-photogrammetry techniques. Moreover, results of this paper indicate that using the motion magnification technique increases the SNR of the measurements, and could be used as a new approach to extract more information about the structure than previously possible compared to using 3D DIC alone.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Poozesh, P., Baqersad, J., Niezrecki, C., Avitabile, P., Harvey, E., Yarala, R.: Large-area photogrammetry based testing of wind turbine blades. Mech. Syst. Signal Process. 86, 96 (2016). doi:10.1016/j.ymssp.2016.07.021
ARAMIS v6.3, GOM mbH, Braunschweig, Germany 2011
Wadhwa, N.: Revealing and analyzing imperceptible deviations in images and videos, p. 198. Department of Applied Mathematics, Doctor of Philosophy, Massachusetts Institute of Technology (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Poozesh, P., Sarrafi, A., Niezrecki, C., Mao, Z., Avitabile, P. (2017). Extracting High Frequency Operating Shapes from 3D DIC Measurements and Phased-Based Motion Magnified Images. In: Sutton, M., Reu, P. (eds) International Digital Imaging Correlation Society. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-51439-0_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-51439-0_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51438-3
Online ISBN: 978-3-319-51439-0
eBook Packages: EngineeringEngineering (R0)