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Erschienen in:
Analytical Mechanics of Solids Kapitel lesen Erstes Kapitel lesen

2008 | OriginalPaper | Buchkapitel

20. Digital Image Correlation for Shape and Deformation Measurements

verfasst von : Michael A. Sutton, Prof.

Erschienen in: Springer Handbook of Experimental Solid Mechanics

Verlag: Springer US

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Abstract

The essential concepts underlying the use of two-dimensional (2-D) digital image correlation for deformation measurements and three-dimensional (3-D) digital image correlation for shape and deformation measurements on curved or planar specimens are presented. Two-dimensional digital image correlation measures full-field surface displacements with accuracy on the order of ±0.01 pixels on nominally planar specimens undergoing arbitrary in-plane rotations and/or deformations. Three-dimensional digital image correlation measures the complete 3-D surface displacement field on curved or planar specimens, with accuracy on the order of ±0.01 pixels for the in-plane components and Z/50000 in the out-of-plane component, where Z is the distance from the object to the camera, for typical stereo-camera arrangements. Accurate surface strains can be extracted from the measured displacement data for specimens ranging in size from many meters to microns and under a wide range of mechanical loading and environmental conditions, using a wide range of imaging systems including optical, scanning electron microscopy, and atomic force microscopy.
In Sect. 20.2, the essential concepts underlying both 2-D DIC and 3-D DIC are presented. Section 20.3 introduces the pinhole imaging model and calibration procedures. Sections 20.4 and 20.5 describe the image digitization and image reconstruction procedures, respectively, for accurate, subpixel displacement measurement. Section 20.6 presents the basics for subset-based, image pattern matching. Section 20.7 provides a range of methods for applying random texture to a surface. Sections 20.8 and 20.9 provide the basics for calibration and deformation measurements in 2-D DIC and 3-D DIC applications, respectively. Section 20.10 presents an example using 2-D image correlation to extract the local stress–strain response in a heterogeneous weld zone. Sections 20.11 and 20.12 present applications using 3-D image correlation to quantify material response during quasistatic and dynamic tension–torsion loading, respectively, of an edge-cracked specimen. Section 20.13 presents closing remarks regarding the developments.

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Vorheriges Kapitel Digital Image Processing for Optical Metrology
Nächstes Kapitel Geometric Moiré
Literatur
20.1.
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20.2.
M.A. Sutton, W.J. Wolters, W.H. Peters, W.F. Ranson, S.R. McNeill: Determination of displacements using an improved digital correlation method, Image Vis. Comput. 1(3), 133–139 (1983)CrossRef
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20.7.
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20.15.
B.E. Amstutz, M.A. Sutton, D.S. Dawicke: Experimental study of mixed mode I/II stable crack growth in thin 2024-T3 aluminum, ASTM STP 1256 Fatigue Fract. 26, 256–273 (1995)
20.16.
J. Liu, M.A. Sutton, J.S. Lyons: Experimental characterization of crack tip deformations in alloy 718 at high temperatures, ASME J. Eng. Mater. Technol. 20(1), 71–78 (1998)CrossRef
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M.A. Sutton, Y.J. Chao, J.S. Lyons: Computer vision methods for surface deformation measurements in fracture mechanics, ASME-AMD Novel Exp. Method. Fract. 176, 123–133 (1993)
20.18.
M.A. Sutton, Y.J. Chao: Experimental techniques in fracture. In: Computer Vision in Fracture Mechanics, ed. by J.S. Epstein (VCH, New York 1993) pp. 59–94
20.19.
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20.20.
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20.21.
M.A. Sutton, Y.J. Chao: Measurement of strains in a paper tensile specimen using computer vision and digital image correlation – Part 2: Tensile specimen test system, Tappi J. 71(3), 173–175 (1988)
20.22.
M.A. Sutton, S.R. McNeill, J.D. Helm, H.W. Schreier: Computer vision applied to shape and deformation measurement,. In: Trends in Optical Non-Destructive Testing and Inspection, ed. by P.K. Rastogi, D. Inaudi (Elsevier, Oxford 2000) pp. 571–591CrossRef
20.23.
M.A. Sutton, S.R. McNeill, J.D. Helm, Y.J. Chao: Advances in 2-D and 3-D computer vision for shape and deformation measurements. In: Photomechanics, Topics in Applied Physics, Vol. 77, ed. by P.K. Rastogi (Springer, Berlin 2000), 323–372CrossRef
20.24.
M. A. Sutton, Y. J. Yan, H. W. Schreier, J. J. Orteu: The effect of out of plane motion on 2D and 3D digital image correlation measurements, Opt. Eng, (in press)
20.25.
P.F. Luo, Y.J. Chao, M.A. Sutton: Application of stereo vision to 3-D deformation analysis in fracture mechanics, Opt. Eng. 33(3), 981–990 (1994)CrossRef
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J.D. Helm, M.A. Sutton, D.S. Dawicke, G. Hanna: Three-dimensional computer vision applications for aircraft fuselage materials and structures, 1st Joint DoD/FAA/NASA Conference on Aging Aircraft in (Ogden, 1997) pp. 1327–1341
20.30.
J.D. Helm, M.A. Sutton, S.R. McNeill: Deformations in wide, center-notched, thin panels: Part I: Three dimensional shape and deformation measurements by computer vision, Opt. Eng. 42(5), 1293–1305 (2003)CrossRef
20.31.
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Metadaten
Titel
Digital Image Correlation for Shape and Deformation Measurements
verfasst von
Michael A. Sutton, Prof.
Copyright-Jahr
2008
Verlag
Springer US
Buch
Springer Handbook of Experimental Solid Mechanics

Print ISBN: 978-0-387-26883-5

Electronic ISBN: 978-0-387-30877-7

Copyright-Jahr: 2008

DOI
https://doi.org/10.1007/978-0-387-30877-7_20

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