Abstract
Understanding the final uncertainty in position, displacement and strain for digital image correlation (DIC) is a difficult or impossible enterprise when done analytically. In contrast, this paper will present a new approach using a pseudo-experimental method for estimating the 2D matching uncertainty, a Monte Carlo approach for understanding the calibration uncertainty, and the propagation of these error contributions to calculate a final 3D uncertainty. The methodology of calculating the errors will be presented using a sample measurement case. Additionally, the sensitivity of the position and motion errors to the various DIC parameters will be discussed.
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Acknowledgements
I would like to thank Hubert Schreier, Scott Walkington and Tim Miller for many valuable discussions on DIC.
Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under contract DE-AC04-94AL85000.
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© 2013 The Society for Experimental Mechanics, Inc.
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Reu, P.L. (2013). Uncertainty Quantification for 3D Digital Image Correlation. In: Jin, H., Sciammarella, C., Furlong, C., Yoshida, S. (eds) Imaging Methods for Novel Materials and Challenging Applications, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4235-6_43
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DOI: https://doi.org/10.1007/978-1-4614-4235-6_43
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Publisher Name: Springer, New York, NY
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Online ISBN: 978-1-4614-4235-6
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