Digital Image Correlation: from Displacement Measurement to Identification of Elastic Properties – a Review
François Hild,Stéphane Roux +1 more
TLDR
A general presentation of the extraction of displacement fields from the knowledge of pictures taken at different instants of an experiment is given, and different strategies can be followed to achieve a sub-pixel uncertainty.Abstract:
The current development of digital image correlation, whose displacement uncertainty is well below the pixel value, enables one to better characterise the behaviour of materials and the response of structures to external loads. A general presentation of the extraction of displacement fields from the knowledge of pictures taken at different instants of an experiment is given. Different strategies can be followed to achieve a sub-pixel uncertainty. From these measurements, new identification procedures are devised making use of full-field measures. A priori or a posteriori routes can be followed. They are illustrated on the analysis of a Brazilian test.read more
Citations
More filters
Journal ArticleDOI
Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review
TL;DR: 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.
Journal ArticleDOI
Quantitative X-ray tomography
Eric Maire,Philip J. Withers +1 more
TL;DR: In this paper, the authors review the current state of the art as CT transforms from a qualitative diagnostic tool to a quantitative one, including the use of iterative reconstruction strategies suited to specific segmentation tasks and emerging methods that provide more insight than conventional attenuation based tomography.
Journal ArticleDOI
"Finite-Element" Displacement Fields Analysis from Digital Images: Application to Portevin-Le Châtelier Bands
TL;DR: In this article, a new methodology is proposed to estimate displacement fields from pairs of images (reference and strained) that evaluates continuous displacement fields, specialized to a finite-element decomposition.
Journal ArticleDOI
Overview of Identification Methods of Mechanical Parameters Based on Full-field Measurements
Stéphane Avril,Marc Bonnet,Anne Sophie Bretelle,Michel Grédiac,François Hild,Patrick Ienny,Felix Latourte,Didier Lemosse,Stéphane Pagano,Emmanuel Pagnacco,Fabrice Pierron +10 more
TL;DR: In this article, the authors present several methods for constitutive parameter identification based on kinematic full-field measurements, namely the finite element model updating method (FEMU), the constitutive equation gap method (CEGM), the virtual fields method (VFM), the EGM, the equilibrium gap method, and the reciprocity gap method.
Journal ArticleDOI
Assessment of digital image correlation measurement errors: methodology and results
Michel Bornert,Fabrice Brémand,Pascal Doumalin,Jean-Christophe Dupré,Marina Fazzini,Michel Grédia,François Hild,Sébastien Mistou,Jérôme Molimard,Jean-José Orteu,Laurent Robert,Yves Surrel,Pierre Vacher,Bertrand Wattrisse +13 more
TL;DR: A methodology is proposed to assess the metrological performances of the image processing algorithms that constitute their main component, the knowledge of which being required for a global assessment of the whole measurement system.
References
More filters
Proceedings ArticleDOI
Determining Optical Flow
TL;DR: In this article, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Journal ArticleDOI
Applications of digital-image-correlation techniques to experimental mechanics
Journal ArticleDOI
Determination of displacements using an improved digital correlation method
TL;DR: An improved digital correlation method is presented for obtaining the full-field in-plane deformations of an object by numerically correlating a selected subset from the digitized intensity pattern of the undeformed object.