Topic
Digital image correlation
About: Digital image correlation is a research topic. Over the lifetime, 7842 publications have been published within this topic receiving 132166 citations.
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TL;DR: It is found that both the node-splitting and overlapping-mesh techniques can be applied to successfully capture the discontinuous displacement field of a propagating crack and the crack-path optimization is capable of locating the crack path with sub-pixel accuracy, reducing correlation residuals and thus increasing the robustness of the DIC analysis.
85 citations
TL;DR: In this paper, a digital image correlation (DIC) technique has been adapted to polycrystalline ice specimens in order to characterize the development of strain heterogeneities at an intragranular scale during transient creep deformation (compression tests).
85 citations
TL;DR: An approach to quantifying the errors in digital image correlation (DIC) is presented using experimentally produced images through numerical binning of an ultra-high resolution image.
Abstract: An approach to quantifying the errors in digital image correlation (DIC) is presented using experimentally produced images. The challenge arises in creating exact subpixel shifted images in an experiment. This was accomplished via numerical binning of an ultra-high resolution image. The shifted images are then used for a preliminary analysis of 2D correlation software uncertainty and investigation of speckle pattern quality. Because it is often necessary to use numerically shifted images, for uncertainty quantification for instance, the optimum method of Fourier shifting is also presented.
85 citations
TL;DR: In this article, a whole-field, in-plane strain-mapping technique is evaluated for in situ monitoring of plastic deformation patterns in aluminum sheet metals, which is built on the recent developments in digital image correlation and improved data reduction procedures.
Abstract: A whole-field, in-plane strain-mapping technique is evaluated for in situ monitoring of plastic deformation patterns in aluminum sheet metals. This technique is built on the recent developments in digital image correlation and improved data reduction procedures. The sensitivity and accuracy of the measured local strain variations are critically examined in terms of random and systematic experimental errors, free-surface roughening due to large plastic deformation and microscopic surface grain deformation. Tensile specimens made from an annealed Al−Mg alloy sheet metal are subjected to a large plastic and macroscopically uniform deformation, and no visible deformation patterns can be identified by direct surface observation. Using an incremental strain-mapping approach, the existence of nonstationary deformation bands in the annealed Al−Mg alloy is uncovered. The developed technique can be used to study the formation and evolution of plastic deformation patterns and their effect on tensile ductility, formability and surface finish of sheet metals.
84 citations
TL;DR: In this paper, high-tough polyurethane foam specimens were subjected to direct impact with different projectile velocities and quantified their deformation response with high speed stereo-photography together with 3D digital image correlation.
84 citations