Abstract
Accelerometers have been conventionally used to measure the response of structures for modal analysis. These pointwise sensors only provide information at a few discrete locations being measured. Additionally, the use of accelerometers to capture the response at discrete locations can mass-load the structure. Thus, the obtained results may not predict the true dynamics of the structure. Stereo-photogrammetry and Three-Dimensional Digital Image Correlation (3D DIC) have recently been adopted to collect operating data for vibration analysis. These non-contact optical techniques provide a wealth of distributed data over the entire structure. One of the limitations of a stereo-camera system is its line of sight, which limits the field of view; a single pair of DIC cameras may not be able to provide deformation data for the entire structure. Several pairs of cameras may be coupled simultaneously to perform DIC measurement on large complex structures. However, the use of multiple cameras involves huge costs and may not be a viable choice. In this paper, a multi-view 3D DIC approach is used to predict the dynamic characteristics of a cantilever beam as a sample structure. A pair of DIC cameras is roved over the entire structure to capture the deformation data of each field of view. Each measured data includes the geometry and displacement data which is later mapped into a universal coordinate system. The measured data is stitched in the frequency domain to extract the operating shapes of the entire structure.
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References
Sarrafi, A., Poozesh, P., Mao, Z.: A comparison of computer-vision-based structural dynamics characterizations. In: Barthorpe, R., Platz, R., Lopez, I., Moaveni, B., Papadimitriou, C. (eds.) Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017, pp. 295–301. Springer International Publishing, Cham (2017). https://doi.org/10.1007/978-3-319-54858-6_29
Baqersad, J., Poozesh, P., Niezrecki, C., Avitabile, P.: Photogrammetry and optical methods in structural dynamics – a review. Mech. Syst. Signal Process. 86(1), 17–34 (2017.) https://doi.org/10.1016/j.ymssp.2016.02.011
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(1), 98–115 (2017.) https://doi.org/10.1016/j.ymssp.2016.07.021
Carr, J., Baqersad, J., Niezrecki, C., Avitabile, P.: Full-field dynamic strain on wind turbine blade using digital image correlation techniques and limited sets of measured data from photogrammetric targets. Exp. Tech. (2015). https://doi.org/10.1111/ext.12129
LeBlanc, B., Niezrecki, C., Avitabile, P., Chen, J., Sherwood, J.: Damage detection and full surface characterization of a wind turbine blade using three-dimensional digital image correlation. Struct. Health Monit. 12, 430–439 (2013)
Stasicki, B., Boden, F.: In-flight measurements of aircraft propeller deformation by means of an autarkic fast rotating imaging system. In: International Conference on Experimental Mechanics 2014, ICEM 2014, 15 Nov 2014–17 Nov 2014, SPIE, Singapore (2015). https://doi.org/10.1117/12.2081393
Stasicki, B., Boden, F.: Application of high-speed videography for in-flight deformation measurements of aircraft propellers. In: 28th International Congress on High-Speed Imaging and Photonics, 9 Nov 2008–14 Nov 2008, SPIE, Canberra (2009). https://doi.org/10.1117/12.822046
Sicard, J., Sirohi, J.: Modeling of the large torsional deformation of an extremely flexible rotor in hover. AIAA J. 52, 1604–1615 (2014)
Sicard, J., Sirohi, J.: Measurement of the deformation of an extremely flexible rotor blade using digital image correlation. Meas. Sci. Technol. 24, 065203 (2013)
Patil, K., Baqersad, J., Sheidaei, A.: A Multi-View Digital Image Correlation for Extracting Mode Shapes of a Tire, Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics, vol. 9, pp. 211–217. Springer, Cham (2017)
Cigada, A., Mazzoleni, P., Tarabini, M., Zappa, E.: Static and Dynamic Monitoring of Bridges by Means of Vision-Based Measuring System, Topics in Dynamics of Bridges, vol. 3, pp. 83–92. Springer, New York (2013)
Busca, G., Cigada, A., Mazzoleni, P., Zappa, E.: Vibration monitoring of multiple bridge points by means of a unique vision-based measuring system. Exp. Mech. 54, 255–271 (2014). https://doi.org/10.1007/s11340-013-9784-8
Caprioli, A., Manzoni, S., Zappa, E.: People-Induced vibrations of civil structures: Image-Based measurement of crowd motion. Exp. Tech. 35, 71–79 (2011). https://doi.org/10.1111/j.1747-1567.2009.00574.x
Poozesh, P., Sabino, D.D., Baqersad, J., Avitabile, P., Niezrecki, C.: Practical techniques for scaling of optically measured operating deflection shapes. In: De Clerck, J., Epp, D.S. (eds.) Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8: Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016, pp. 1–17. Springer International Publishing, Cham (2017). https://doi.org/10.1007/978-3-319-30084-9_1
Chen, J.G., Wadhwa, N., Cha, Y.-J., Durand, F., Freeman, W.T., Buyukozturk, O.: Modal identification of simple structures with high-speed video using motion magnification. J. Sound Vib. 345, 58–71 (2015.) https://doi.org/10.1016/j.jsv.2015.01.024
Sarrafi, A., Poozesh, P., Niezrecki, C., Mao, Z.: Mode extraction on wind turbine blades via phase-based video motion estimation. In: SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, pp. 101710E–1101712. International Society for Optics and Photonics. Portland, Oregon, United States (2017)
Poozesh, P., Sarrafi, A., Mao, Z., Niezrecki, C.: Modal parameter estimation from optically-measured data using a hybrid output-only system identification method. Measurement. 110, 134–145 (2017)
Li, J., Xie, X., Yang, G., Zhang, B., Siebert, T., Yang, L.: Whole-field thickness strain measurement using multiple camera digital image correlation system. Opt. Lasers Eng. 90, 19–25 (2017.) https://doi.org/10.1016/j.optlaseng.2016.09.012
Acknowledgement
This research presented in this paper is partly supported by the National Science Foundation under Grant Number 1625987 (Acquisition of a 3D Digital Image Correlation System to Enhance Research and Teaching at Kettering University). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the sponsoring organizations.
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Srivastava, V., Patil, K., Baqersad, J., Zhang, J. (2019). A Multi-view DIC Approach to Extract Operating Mode Shapes of Structures. In: Niezrecki, C., Baqersad, J. (eds) Structural Health Monitoring, Photogrammetry & DIC, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-74476-6_6
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