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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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Journal ArticleDOI

Characterisation of steel components under monotonic loading by means of image-based methods

TL;DR: In this article, the ductile damage behavior of S185 structural steel is determined by coupling numerical and experimental analyses, coupled with image-based methods for assessing displacement and strain fields over the gauge section.
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Formability Evaluation of Aluminum Alloy 6061-T6 Sheet at Room and Elevated Temperatures

TL;DR: In this paper, the formability of aluminum alloy 6061-T6 sheet was evaluated and the effects of temperature and strain rate on formability were analyzed, and the authors provided a guidance to design the warm/hot forming of AA 6061 sheet.
Journal ArticleDOI

Mirror-assisted multi-view digital image correlation: Principles, applications and implementations

TL;DR: This review comprehensively overviews the advances made to mirror-assisted multiple-view digital image correlation and encourages its future applications in experimental mechanics.
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Residual Strains using Integrated Continuous Fiber Optic Sensing in Thermoplastic Composites and Structural Health Monitoring

TL;DR: In this paper, an in-situ fiber optic sensor corresponding to a coated optical glass fiber with a nominal diameter of 160μm is placed in an arrangement to capture 0, 45, and 90° strains in the composite to resolve in-plane strain tensor.
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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