Abstract
As a carrier of deformation information, the speckle pattern, or more exactly the random intensity distributions, which could be naturally occurred or artificially fabricated onto test samples’ surface, plays an indispensable role in digital image correlation (DIC). It is now well recognized that the accuracy and precision in DIC measurements not only rely on correlation algorithms, but also depend highly on the quality of the speckle pattern. Considering the huge diversity in test materials, spatial scales and experimental conditions, speckle pattern fabrication could be a challenging issue facing DIC practitioners. To obtain good speckle patterns suitable for DIC measurements, some key issues of fabrication methods and quality assessment of speckle patterns must be well addressed. To this end, this review systematically presents the speckle pattern classification and fabrication techniques for various samples and scales, as well as some typical quality assessment metrics.
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Acknowledgements
This work is supported by National Natural Science Foundation of China (NSFC) (Grant nos. 11272032, 11322220, 11427802, 11602011 and 11632010), and the Aeronautical Science Foundation of China (2016ZD51034), and Beijing Nova Program (xx2014B034).
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Dong, Y., Pan, B. A Review of Speckle Pattern Fabrication and Assessment for Digital Image Correlation. Exp Mech 57, 1161–1181 (2017). https://doi.org/10.1007/s11340-017-0283-1
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DOI: https://doi.org/10.1007/s11340-017-0283-1