scispace - formally typeset
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.

read more

Citations
More filters
Journal ArticleDOI

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

TL;DR: An overview of recent advances in computer vision techniques as they apply to the problem of civil infrastructure condition assessment and some of the key challenges that persist toward the goal of automated vision-based civil infrastructure and monitoring are presented.
Journal ArticleDOI

Mean intensity gradient: An effective global parameter for quality assessment of the speckle patterns used in digital image correlation

TL;DR: In this article, a simple and easy-to-calculate yet effective global parameter, called mean intensity gradient, is proposed for quality assessment of the speckle patterns used in DIC.
Journal ArticleDOI

Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations

TL;DR: In this article, a Gauss-Newton-based digital image correlation (DIC) method was proposed to eliminate the redundant computations involved in conventional DIC method using forward additive matching strategy and classic Newton-Raphson (FA-NR) algorithm without sacrificing its sub-pixel registration accuracy.
Journal ArticleDOI

Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review

TL;DR: This review paper is intended to summarize the collective experience that the research community has gained from the recent development and validation of the vision-based sensors for structural dynamic response measurement and SHM.
References
More filters
Journal ArticleDOI

Study on subset size selection in digital image correlation for speckle patterns.

TL;DR: A theoretical model of the displacement measurement accuracy of DIC can be accurately predicted based on the variance of image noise and Sum of Square of Subset Intensity Gradients (SSSIG), which leads to a simple criterion for choosing an optimal subset size for the DIC analysis.
Journal ArticleDOI

Performance of sub-pixel registration algorithms in digital image correlation

TL;DR: A detailed examination of the performances of each algorithm reveals that the iterative spatial domain cross-correlation algorithm (Newton–Raphson method) is more accurate, but much slower than other algorithms, and is recommended for use in these applications.
Journal ArticleDOI

Quality assessment of speckle patterns for digital image correlation

TL;DR: A comparison is made between three different speckle patterns originated by the same referenceSpeckle pattern, and it is shown that the size of the speckles combined with thesize of the used pixel subset clearly influences the accuracy of the measured displacements.
Journal ArticleDOI

On errors of digital particle image velocimetry

TL;DR: In this article, a peak-normalization method was introduced to make the mean bias error negligible in comparison with the root-mean-square (RMS) error, and a peak compensation technique was also introduced to reduce the RMS error.
Journal ArticleDOI

Subpixel displacement and deformation gradient measurement using digital image/speckle correlation (DISC)

TL;DR: An iterative, spatial-gradient based algorithm is developed, which uses only first-order spatial derivatives of the images before and after deformation, and an application of DISC to thermome- chanical diagnostics of electronic packaging is presented.
Related Papers (5)