Study of Natural Patterns on Digital Image Correlation Using Simulation Method
Digital image correlation (DIC) is a contactless fullfield
displacement and strain reconstruction technique commonly
used in the field of experimental mechanics. Comparing with
physical measuring devices, such as strain gauges, which only
provide very restricted coverage and are expensive to deploy widely,
the DIC technique provides the result with full-field coverage and
relative high accuracy using an inexpensive and simple experimental
setup. It is very important to study the natural patterns effect on the
DIC technique because the preparation of the artificial patterns is
time consuming and hectic process. The objective of this research is
to study the effect of using images having natural pattern on the
performance of DIC. A systematical simulation method is used to
build simulated deformed images used in DIC. A parameter (subset
size) used in DIC can have an effect on the processing and accuracy
of DIC and even cause DIC to failure. Regarding to the picture
parameters (correlation coefficient), the higher similarity of two
subset can lead the DIC process to fail and make the result more
inaccurate. The pictures with good and bad quality for DIC methods
have been presented and more importantly, it is a systematic way to
evaluate the quality of the picture with natural patterns before they
install the measurement devices.
[1] T. C. Chu, W. F. Ranson, M. A. Sutton, and W. H. Peters, "Applications
of Digital-Image-Correlation Techniques to Experimental Mechanics,"
Experimental Mechanics, vol. 25, pp. 232-244, 1985.
[2] B. Wattrisse, A. Chrysochoos, J.-M. Muracciole, and M. N. moz-
Gaillard, "Analysis of Strain Localization during Tensile Tests by
Digital Image Correlation," Experimental Mechanics, vol. 41, pp. 29-39,
2001.
[3] S. Cho, I. Chasiotis, T. A. Friedmann, and J. P. Sullivan, "Young's
modulus, Poisson's ratio and failure properties of tetrahedral amorphous
diamond-like carbon for MEMS devices," J. Micromech.Microeng., vol.
15, pp. 728-735, 2005.
[4] S. R. McNEILL, W. H. Peters, and M. A. Sutton, "Estimation of stress
intensity factor by digital image correlation," Engineering Fracture
Mechanics, vol. 28, pp. 101-112, 1987.
[5] N. Sabaté, D. Vogel, A. Gollhardt, J. Keller, B. Michel, I. C. Cané, et
al., "Measurement of residual stresses in micromachined structures in a
microregion," Applied Physics Letters, vol. 88, p. 071910, 2006.
[6] Y. Sun and J. H. L. Pang, "Experimental and numerical investigations of
near-crack-tip deformation in a solder alloy," Acta Materialia, vol. 56,
pp. 537-548, 2008.
[7] I. Gnip, S. Ve˙jelis, V. Keršulis, and S. Vaitkus, "Strength and
deformability of mineral wool slabs under short-term compressive,
tensile and shear loads," Construction and Building Materials, vol. 24,
pp. 2124-2134, 2010.
[8] D. Zhang, M. Luo, and D. D. Arola, "Displacement/strain measurements
using an optical microscope and digital image correlation," Optical
Engineering, vol. 45, pp. 033605-033605-9, 2006.
[9] B. Jähne, Practical Handbook on Image Processing for Scientific and
Technical Applications. New York: CRC Press, 2004.
[10] B. Pan, K. Qian, H. Xie, and A. Asundi, "Two-dimensional digital image
correlation for in-plane displacement and strain measurement: a review,"
Meas. Sci. Technol, vol. 20, p. 062001, 2009.
[11] K. Triconnet, K. Derrien, F. Hild, and D. Baptiste, "Parameter choice for
optimized digital image correlation," Optics and Lasers in Engineering,
vol. 47, pp. 728-737, 2009.
[12] D. Lecompte, A. Smits, S. Bossuyt, H. Sol, J. Vantomme, D. V.
Hemelrijck, et al., "Quality assessment of speckle patterns for digital
image correlation," Optics and Lasers in Engineering, vol. 44, pp. 1132-
1145, 2006.
[13] Y. Sun and J. H. L. Pang, "Study of optimal subset size in digital image
correlation of speckle pattern images," Opt. Lasers Eng., vol. 45, pp.
967-974, 2007.
[14] B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, "Study on subset size
selection in digital image correlation for speckle patterns," Optics
express, vol. 16, pp. 7037-48, 2008.
[15] H. W. Schreier, J. R. Braasch, and M. A. Sutton, "Systematic errors in
digital image correlation caused by intensity interpolation," Opt. Eng.,
vol. 39, pp. 2915-2921, 2000.
[16] H. A. Bruck, S. R. McNeill, M. A. Sutton, and W. H. P. III, "Digital
Image Correlation Using Newton-Raphson Method of Partial
Differential Correction," Experimental Mechanics, vol. 29, pp. 261-267,
1989.
[17] S. Timoshenko and J. Goodier, Theory of elasticity, 2 ed.: McGraw-Hill
Book Company, Inc., New York, 1951.
[1] T. C. Chu, W. F. Ranson, M. A. Sutton, and W. H. Peters, "Applications
of Digital-Image-Correlation Techniques to Experimental Mechanics,"
Experimental Mechanics, vol. 25, pp. 232-244, 1985.
[2] B. Wattrisse, A. Chrysochoos, J.-M. Muracciole, and M. N. moz-
Gaillard, "Analysis of Strain Localization during Tensile Tests by
Digital Image Correlation," Experimental Mechanics, vol. 41, pp. 29-39,
2001.
[3] S. Cho, I. Chasiotis, T. A. Friedmann, and J. P. Sullivan, "Young's
modulus, Poisson's ratio and failure properties of tetrahedral amorphous
diamond-like carbon for MEMS devices," J. Micromech.Microeng., vol.
15, pp. 728-735, 2005.
[4] S. R. McNEILL, W. H. Peters, and M. A. Sutton, "Estimation of stress
intensity factor by digital image correlation," Engineering Fracture
Mechanics, vol. 28, pp. 101-112, 1987.
[5] N. Sabaté, D. Vogel, A. Gollhardt, J. Keller, B. Michel, I. C. Cané, et
al., "Measurement of residual stresses in micromachined structures in a
microregion," Applied Physics Letters, vol. 88, p. 071910, 2006.
[6] Y. Sun and J. H. L. Pang, "Experimental and numerical investigations of
near-crack-tip deformation in a solder alloy," Acta Materialia, vol. 56,
pp. 537-548, 2008.
[7] I. Gnip, S. Ve˙jelis, V. Keršulis, and S. Vaitkus, "Strength and
deformability of mineral wool slabs under short-term compressive,
tensile and shear loads," Construction and Building Materials, vol. 24,
pp. 2124-2134, 2010.
[8] D. Zhang, M. Luo, and D. D. Arola, "Displacement/strain measurements
using an optical microscope and digital image correlation," Optical
Engineering, vol. 45, pp. 033605-033605-9, 2006.
[9] B. Jähne, Practical Handbook on Image Processing for Scientific and
Technical Applications. New York: CRC Press, 2004.
[10] B. Pan, K. Qian, H. Xie, and A. Asundi, "Two-dimensional digital image
correlation for in-plane displacement and strain measurement: a review,"
Meas. Sci. Technol, vol. 20, p. 062001, 2009.
[11] K. Triconnet, K. Derrien, F. Hild, and D. Baptiste, "Parameter choice for
optimized digital image correlation," Optics and Lasers in Engineering,
vol. 47, pp. 728-737, 2009.
[12] D. Lecompte, A. Smits, S. Bossuyt, H. Sol, J. Vantomme, D. V.
Hemelrijck, et al., "Quality assessment of speckle patterns for digital
image correlation," Optics and Lasers in Engineering, vol. 44, pp. 1132-
1145, 2006.
[13] Y. Sun and J. H. L. Pang, "Study of optimal subset size in digital image
correlation of speckle pattern images," Opt. Lasers Eng., vol. 45, pp.
967-974, 2007.
[14] B. Pan, H. Xie, Z. Wang, K. Qian, and Z. Wang, "Study on subset size
selection in digital image correlation for speckle patterns," Optics
express, vol. 16, pp. 7037-48, 2008.
[15] H. W. Schreier, J. R. Braasch, and M. A. Sutton, "Systematic errors in
digital image correlation caused by intensity interpolation," Opt. Eng.,
vol. 39, pp. 2915-2921, 2000.
[16] H. A. Bruck, S. R. McNeill, M. A. Sutton, and W. H. P. III, "Digital
Image Correlation Using Newton-Raphson Method of Partial
Differential Correction," Experimental Mechanics, vol. 29, pp. 261-267,
1989.
[17] S. Timoshenko and J. Goodier, Theory of elasticity, 2 ed.: McGraw-Hill
Book Company, Inc., New York, 1951.
@article{"International Journal of Information, Control and Computer Sciences:69004", author = "Gang Li and Ghulam Mubashar Hassan and Arcady Dyskin and Cara MacNish", title = "Study of Natural Patterns on Digital Image Correlation Using Simulation Method", abstract = "Digital image correlation (DIC) is a contactless fullfield
displacement and strain reconstruction technique commonly
used in the field of experimental mechanics. Comparing with
physical measuring devices, such as strain gauges, which only
provide very restricted coverage and are expensive to deploy widely,
the DIC technique provides the result with full-field coverage and
relative high accuracy using an inexpensive and simple experimental
setup. It is very important to study the natural patterns effect on the
DIC technique because the preparation of the artificial patterns is
time consuming and hectic process. The objective of this research is
to study the effect of using images having natural pattern on the
performance of DIC. A systematical simulation method is used to
build simulated deformed images used in DIC. A parameter (subset
size) used in DIC can have an effect on the processing and accuracy
of DIC and even cause DIC to failure. Regarding to the picture
parameters (correlation coefficient), the higher similarity of two
subset can lead the DIC process to fail and make the result more
inaccurate. The pictures with good and bad quality for DIC methods
have been presented and more importantly, it is a systematic way to
evaluate the quality of the picture with natural patterns before they
install the measurement devices.
", keywords = "Digital image correlation (DIC), Deformation
simulation, Natural pattern, Subset size.", volume = "9", number = "2", pages = "414-8", }
