Deformation Measurement for Multiscale and Multifield Problems using the Digital Image Correlation Method

Living reference work entry

Abstract

Based on the tracking of characteristic patterns in a series of images, digital image correlation (DIC) provides full-field displacements in the subpixel accuracy. The subpixel algorithm of DIC uses gradient-based method, inverse compositional Gauss-Newton, and double Fourier transform to achieve tracking results at extremely high resolutions. The noncontact nature of DIC technology provides pixel-based data for use in multi-scale measurement, which is able to analyze structure deformation at scales from meters to nanometers, and to record the duration of two images from hours to microseconds. The DIC technique developed in our laboratory makes it possible to obtain noncontact, full-field measurements with high spatial and temporal resolution. The DIC technique is used in this study to investigate numerous problems in various domains at various scales.

Notes

Acknowledgment

The authors gratefully acknowledge the financial support of this research by National Taiwan University under Excellence Research Program, contract number – 104R8918-01.

References

  1. 1.
    Sutton MA, Cheng M, Peters WH, Chao YJ, McNeill SR. Application of an optimized digital correlation method to planar deformation analysis. Image Vis Comput. 1986;4(3):143–50.CrossRefGoogle Scholar
  2. 2.
    Pan B, Qian K, Xie H, Asundi A. Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review. Meas Sci Technol. 2009;20:062001.CrossRefGoogle Scholar
  3. 3.
    Tang Z, Liang J, Xiao Z, Guo C. Large deformation measurement scheme for 3D digital image correlation method. Opt Lasers Eng. 2012;50(2):122–30.CrossRefGoogle Scholar
  4. 4.
    Tian L, Pan B, Cai Y, Liang H, Zhao Y. Application of digital image correlation for long-distance bridge deflection measurement. Proc SPIE-Int Soc Opt Eng Nanotechnol. 2013;8769: 87692V–87692V–7.Google Scholar
  5. 5.
    Winiarski B, Withers PJ. Micron-scale residual stress measurement by micro-hole drilling and digital image correlation. Exp Mech. 2012;52(4):417–28.CrossRefGoogle Scholar
  6. 6.
    Kammers AD, Daly S. Self-assembled nanoparticle surface patterning for improved digital image correlation in a scanning electron microscope. Exp Mech. 2013;53(8):1333–41.CrossRefGoogle Scholar
  7. 7.
    Pan B, Li K. A fast digital image correlation method for deformation measurement. Opt Lasers Eng. 2011;49(7):841–7.MathSciNetCrossRefGoogle Scholar
  8. 8.
    Tiwari V, Sutton MA, McNeill SR, Xu S, Deng X, Fourney WL, Bretall D. Application of 3D image correlation for full-field transient plate deformation measurements during blast loading. Int J Impact Eng. 2009;36(6):862–74.CrossRefGoogle Scholar
  9. 9.
    Jiroušek O, Jandejsek I, Vavřík D. Evaluation of strain field in microstructures using micro-CT and digital volume correlation. J Instrum. 2011;6(01):C01039.CrossRefGoogle Scholar
  10. 10.
    Chuang SF, Chang CH, Chen TY. Spatially resolved assessments of composite shrinkage in MOD restorations using a digital-image-correlation technique. Dent Mater. 2011;27(2):134–43.CrossRefGoogle Scholar
  11. 11.
    Candocia FM, Principe JC. Super-resolution of images based on local correlations. IEEE Trans Neural Netw. 1999;10(2):372–80.CrossRefGoogle Scholar
  12. 12.
    Zhang D, Zhang X, Cheng G. Compression strain measurement by digital speckle correction. Exp Mech. 1999;39:62–5.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringNational Taiwan UniversityTaipeiTaiwan
  2. 2.Department of Mechanical EngineeringNational Taipei University of TechnologyTaipeiTaiwan

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