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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

Noise-induced bias for convolution-based interpolation in digital image correlation

TL;DR: A sinusoidal approximate formula for noise-induced bias is derived; this formula motivates an estimating strategy which is with speed, ease, and accuracy; furthermore, based on this formula, the mechanism of sophisticated interpolation methods generally reducing noise- induced bias is revealed.
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Modal Strain Energy-Based Structural Damage Detection Using Convolutional Neural Networks

TL;DR: Wang et al. as mentioned in this paper used a CNN to extract the damage features of a steel frame structure and used a classification algorithm to judge the damage state of the structure, which showed that the CNN was effective in detecting the intact structure, single damage, and multi damages with an accuracy of 100%.
Journal ArticleDOI

Considerable pancreatic tumor motion during breath-holding

TL;DR: Substantial pancreatic tumor motion during BH as well as considerable position variation between consecutive BHs on a single day is observed, which is recommended before introducing breath-hold during radiation treatment of pancreatic cancer patients.
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Full-field analysis of shear test on 3D orthogonal woven C/C composites

TL;DR: In this article, the authors used the digital image correlation (DIC) technique as full-field measurement to analyze the shear properties of the 3D orthogonal woven C/C composites.
Journal ArticleDOI

Application of Digital Image Correlation (DIC) Method for Road Material Testing.

TL;DR: The conducted research pointed out the possibilities of using the DIC method to evaluate the deformation of road materials in laboratory tests, taking into account their specificity.
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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