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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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Book ChapterDOI
01 Jan 2015
TL;DR: In this article, a systematic study was performed to determine how speckle patterning parameters (speckle density and shape) affect strain resolution of DIC using SEM imaging.
Abstract: The advent of small-scale testing procedures coupled with scanning electron microscopy (SEM) imaging allow for high-resolution digital image correlation (DIC) studies to examine strain localization at the grain size length scale. A systematic study was performed to determine how speckle patterning parameters (speckle density and shape) affect strain resolution of DIC using SEM imaging. Strain resolution increased with increased speckle density from 23 to 58 % area fraction. Patterns with less than 23 % area fraction exhibited significant signal noise, and a loss in strain resolution due to inadequate correlation. It was also observed that when the edges of square speckles were aligned with SEM rastering directions, the noise in the e yy data was double the noise in the e xx data. Rotating the speckle to eliminate edge alignment with the rastering direction significantly decreased the e yy strain noise. Competing optimization requirements for the correlation parameters were needed to minimize strain intensity noise or maximize spatial resolution. Application of the optimization techniques to high temperature in-situ studies of Ni-based superalloys will also be presented.

41 citations

Journal ArticleDOI
TL;DR: In this paper, the deformation associated with crystallographic slip and with the lattice rotation was determined in a copper micropillar oriented for single slip, in areas as small as 0.16×-0.16μm 2.

41 citations

Journal ArticleDOI
TL;DR: In this paper, an innovative method of volcano deformation measurements, applied to camera images taken from the 2004-2008 eruption period at Mount St. Helens, is described, which highlights the strengths of camera strain monitoring, and illustrates that dome growth and collapse is a very dynamic process complexly interplaying with the surrounding.
Abstract: SUMMARY This paper describes an innovative method of volcano deformation measurements, applied to camera images taken from the 2004–2008 eruption period at Mount St. Helens. Dome growth was thought to be characterized by sustained, near-linear rates of a solid dacite plug. Through spatial digital image correlation (DIC) analysis of the camera images, new evidences arise that the deformation and strain rate of the spine was more complex. DIC yielded cumulative and incremental displacements, strain and shear planes at decimetre resolution. It was found that dome extrusion rates are highly non-linear, decelerating prior to partial collapse, followed by a pronounced dome extrusion increase and direction change. Associated processes have been identified through DIC, such as shallow landslides and reworking of talus apron material. The work highlights the strengths of camera strain monitoring, and illustrates that dome growth and collapse is a very dynamic process complexly interplaying with the surrounding.

41 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of the basalt fibers and the freeze thaw cycles on the concrete impact failure mechanism through the concrete beam fall ball impact test was investigated, where the authors used the digital image correlation method to measure the full field strains and then make a real-time analysis of them.

41 citations

Journal ArticleDOI
TL;DR: In this article, a joint numerical-experimental approach that involves the integrated use of microscopic digital image correlation analysis, electron backscatter diffraction, and multiphysics crystal plasticity simulations with a spectral solver was employed.

41 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023582
20221,120
2021667
2020646
2019636
2018567