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Journal ArticleDOI

Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review

TLDR
In this article, a review of the 2D digital image correlation (2D DIC) technique for displacement field measurement and strain field estimation is presented, and detailed analyses of the measurement accuracy considering the influences of both experimental conditions and algorithm details are provided.
Abstract
As a practical and effective tool for quantitative in-plane deformation measurement of a planar object surface, two-dimensional digital image correlation (2D DIC) is now widely accepted and commonly used in the field of experimental mechanics. It directly provides full-field displacements to sub-pixel accuracy and full-field strains by comparing the digital images of a test object surface acquired before and after deformation. In this review, methodologies of the 2D DIC technique for displacement field measurement and strain field estimation are systematically reviewed and discussed. Detailed analyses of the measurement accuracy considering the influences of both experimental conditions and algorithm details are provided. Measures for achieving high accuracy deformation measurement using the 2D DIC technique are also recommended. Since microscale and nanoscale deformation measurement can easily be realized by combining the 2D DIC technique with high-spatial-resolution microscopes, the 2D DIC technique should find more applications in broad areas.

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Citations
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Determination of the Local Strains Near Stress Concentrators by the Digital Image Correlation Technique

TL;DR: In this paper, the specific features of determination of the local strains in materials in the vicinity of stress concentrators of different radii were analyzed by the digital image correlation method. And the dependences of the critical local strains on the spacing used for their measuring in smooth specimens and specimens with stress concentrator and fatigue cracks were established.
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Characterization of toughening mechanisms in UHPC through image correlation and inverse analysis of flexural results

TL;DR: In this paper, the effect of fibers on the suppression of cracking and the attendant toughening mechanisms are addressed at two different fiber contents to elucidate the strain-softening and strain-hardening responses.
Journal ArticleDOI

Online Precise Motion Measurement of 3-DOF Nanopositioners Based on Image Correlation

TL;DR: Experimental results demonstrate that the proposed method can realize real-time motion tracking of a 3-DOF nanopositioner with the performance similar to commonly used multicapacitive sensor scheme.
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Displacement Discontinuity or Complex Shape of Sample: Assessment of Accuracy and Adaptation of Local DIC Approach

TL;DR: In this paper, the impact of a complex shape of sample and the appearance of a displacement discontinuity on performances of measurement by local Digital Image Correlation (DIC) is studied.
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Experimental investigation on damage evolution in pre-corroded aluminum alloy 7075-T7651 under fatigue loading

TL;DR: In this paper, three stages of fatigue damage evolution including damage accumulation, macro-crack initiation and propagation are identified and described via the combined analysis of damage severity curves and strain maps.
References
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Journal ArticleDOI

Surfaces generated by moving least squares methods

TL;DR: In this article, an analysis of moving least squares (m.l.s.) methods for smoothing and interpolating scattered data is presented, in particular theorems concerning the smoothness of interpolants and the description of m. l.s. processes as projection methods.
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Digital Particle Image Velocimetry

TL;DR: In this article, the directional ambiguity associated with PIV and LSV is resolved by implementing local spatial cross-correlations between two sequential single-exposed particle images, and the recovered velocity data are used to compute the spatial and temporal vorticity distribution and the circulation of the vortex ring.
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Digital Imaging Techniques In Experimental Stress Analysis

TL;DR: In this paper, the surface displacement components in laser speckle metrology were measured using a digital image scanner interfaced to a computer. Butt et al. used a boundary integral equation method to calculate surface traction in the contour.
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Digital image correlation using Newton-Raphson method of partial differential correction

TL;DR: In this paper, the authors developed and limited experimental verification of a method which can determine displacements and gradients using the Newton-Raphson method of partial corrections, which was shown to be accurate in determining displacement and certain gradients, while using significantly less CPU time than the current coarse-fine search method.
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