Open Access
Issue
Mechanics & Industry
Volume 18, Number 3, 2017
Article Number 311
Number of page(s) 10
DOI https://doi.org/10.1051/meca/2016060
Published online 24 May 2017
  1. A. Giachetti, Matching techniques to compute image motion, Image Vis. Comput 18 (2000) 247–260 [CrossRef] [Google Scholar]
  2. W. Tong, An evaluation of digital image correlation criteria for strain mapping applications, Strain 41 (2005) 167–175 [CrossRef] [Google Scholar]
  3. K. Triconnet, K. Derrien, F. Hild, D. Baptiste, Parameter choice for optimized digital image correlation, Opt. Lasers Eng. 47 (2009) 728–237 [CrossRef] [Google Scholar]
  4. W.H. Peters, W.F. Ranson, Digital imaging techniques in experimental stress analysis, Opt. Eng. 21 (1982) 427–431 [Google Scholar]
  5. M.A. Sutton, W.J. Wolters, W.H. Peters, W.F. Ranson, S.F. McNeill, Determination of displacements using an improved digital correlation method, Image Vis. Comput. 1 (1983) 133–139 [CrossRef] [Google Scholar]
  6. D.J. White, W.A. Take, M.D. Bolton, Soil deformation measurement using particle image velocimetry (PIV) and photogrammetry, Géotechnique 50 (2003) 619–631 [CrossRef] [Google Scholar]
  7. R.W. BrachmanI, H.A. McLeod, I.D. Moore, W.A. Take, Three-dimensional ground displacements from static pipe bursting in stiff clay, Can. Geotech. J. 47 (2010) 439–450 [CrossRef] [Google Scholar]
  8. M.A. Sutton, J.-J. Orteu, H.W. Schreier, Image correlation for shape, motion and deformation measurements, Springer Science + Business Media, New York, 2009 [Google Scholar]
  9. B.W. Smith, X. Li, W. Tong, Error assessment for strain mapping by digital image correlation, Exp. Tech. 22 (1998) 19–21 [CrossRef] [Google Scholar]
  10. B. Wattrisse, A. Chrysochoos, J.-M. Muracciole, Némoz-Gaillard M. Analysis of strain localization during tensile tests by digital image correlation, Exp. Mech. 41 (2001) 29–39 [CrossRef] [Google Scholar]
  11. P.C. Hung, A.S. Voloshin, In-plane strain measurement by digital image correlation, J. Braz. Soc. Mech. Sci. Eng. 25 (2003) 215–221 [Google Scholar]
  12. P. Bing, Q. kemoa, A. Anand, X. Humin, Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review, Meas. Sci. Technol. 20 (2009) 062001 [CrossRef] [Google Scholar]
  13. H. Haddadi, S. Belhabib, Use of rigid-body mOtion for the investigation and estimation of the measurement errors related to digital image correlation technique, Opt. Lasers Eng. 46 (2008) 185–196 [CrossRef] [Google Scholar]
  14. http://www.mathworks.com/matlabcentral/fileexchange/43073-improved-digital-image-correlation–dic-, (2013) [Google Scholar]
  15. N.A. Hoult, W.A. Take, Lee C, Dutton M. Experimental accuracy of two dimensional strain measurements using digital image correlation, Eng. Struct. 46 (2013) 718–726 [CrossRef] [Google Scholar]
  16. G. Crammond, S.W. Boyd, J.M. Dulieu-Barton, Speckle pattern quality assessment for digital image correlation, Opt. Lasers Eng. 51 (2013) 1368–1378 [CrossRef] [Google Scholar]
  17. W.F. Hosford, R.M. Caddell, Metal Forming: Mechanics and Metallurgy 4th Edition, Cambridge University Press, 2014 [Google Scholar]
  18. H. Mamusi, A. Masoumi, R. Hashemi, R. Mahdavinejad, A novel approach to the determination of forming limit diagrams for tailor-welded blanks, J. Mater. Eng. Performance 22 (2013) 3210–3221 [CrossRef] [Google Scholar]

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