The Effect of the Ill-posed Problem on Quantitative Error Assessment in Digital Image Correlation

Lehoucq, R. B.; Reu, P. L.; Turner, D. Z.

doi:10.1007/s11340-017-0360-5

Title: The Effect of the Ill-posed Problem on Quantitative Error Assessment in Digital Image Correlation

Journal Article · Mon Nov 27 00:00:00 EST 2017 · Experimental Mechanics

DOI:https://doi.org/10.1007/s11340-017-0360-5· OSTI ID:1421608

Lehoucq, R. B. ^[1]; Reu, P. L. ^[2]; Turner, D. Z. ^[1]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Center for Computing Research
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Diagnostic Science & Engineering

Here, this work explores the effect of the ill-posed problem on uncertainty quantification for motion estimation using digital image correlation (DIC) (Sutton et al. 2009). We develop a correction factor for standard uncertainty estimates based on the cosine of the angle between the true motion and the image gradients, in an integral sense over a subregion of the image. This correction factor accounts for variability in the DIC solution previously unaccounted for when considering only image noise, interpolation bias, contrast, and the software settings such as subset size and spacing.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000; NA0003525

OSTI ID:: 1421608

Report Number(s):: SAND-2017-5602J; PII: 360

Journal Information:: Experimental Mechanics, Vol. 2017; ISSN 0014-4851

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

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Cited By (4)

Spatial DIC Errors due to Pattern-Induced Bias and Grey Level Discretization Fayad, S. S.; Seidl, D. T.; Reu, P. L. Experimental Mechanics, Vol. 60, Issue 2 https://doi.org/10.1007/s11340-019-00553-9	journal	November 2019
On the Optimal Pattern for Displacement Field Measurement: Random Speckle and DIC, or Checkerboard and LSA? Grédiac, M.; Blaysat, B.; Sur, F. Experimental Mechanics, Vol. 60, Issue 4 https://doi.org/10.1007/s11340-019-00579-z	journal	January 2020
A motion blur compensation algorithm for 2D DIC measurements of deformable bodies Lavatelli, A.; Turrisi, S.; Zappa, E. Measurement Science and Technology, Vol. 30, Issue 2 https://doi.org/10.1088/1361-6501/aaf31a	journal	December 2018
Rendering Deformed Speckle Images with a Boolean Model Sur, Frédéric; Blaysat, Benoît; Grédiac, Michel Journal of Mathematical Imaging and Vision, Vol. 60, Issue 5 https://doi.org/10.1007/s10851-017-0779-4	journal	December 2017

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