In-plane strain measurement by digital image correlation
Po-Chih Hung,Arkady Voloshin +1 more
TLDR
In this article, a fast and simple (FAS) detection algorithm based on the digital image correlation for measurement of the surface deformation of planar objects is presented, which uses only fine search at the pixel level resolution and surface fitting for sub-pixel level.Abstract:
This paper presents a "fast and simple" (FAS) detection algorithm based on the digital image correlation for measurement of the surface deformation of planar objects. The proposed algorithm uses only fine search at the pixel level resolution and surface fitting for sub-pixel level. Two different specimens are investigated to explore the feasibility of this proposed algorithm. The displacements calculated by the FAS algorithm are compared with the ones obtained from Newton-Raphson method (N-R) and Enhanced Sequential Similarity Detection Algorithm (ESSDA). The results show that the experimental data are in good agreement with the theoretical solution. The proposed algorithm is found to be much faster than Newton-Raphson method with inferior, yet reasonable, accuracy for displacement and strain evaluation in the cases of uniaxial tension and disk under diametrical compression tests.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
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
A Review of Speckle Pattern Fabrication and Assessment for Digital Image Correlation
Y.L. Dong,Bing Pan +1 more
TL;DR: In this paper, a review systematically presents the speckle pattern classification and fabrication techniques for various samples and scales, as well as some typical quality assessment metrics, considering the huge diversity in test materials, spatial scales and experimental conditions.
Journal ArticleDOI
Speckle pattern quality assessment for digital image correlation
TL;DR: A robust morphological methodology using edge detection is devised to evaluate the physical properties of different speckle patterns with image resolutions from 23 to 705 pixels/mm, to demonstrate that the pattern properties derived from the analysis can be used to indicate pattern quality and hence minimise DIC measurement errors.
Journal ArticleDOI
Use of rigid-body motion for the investigation and estimation of the measurement errors related to digital image correlation technique
H. Haddadi,S. Belhabib +1 more
TL;DR: The aim of this work is to investigate the sources of errors related to digital image correlation (DIC) technique applied to strain measurements and to address a classification of the error related to the used equipment.
References
More filters
Numerical recipes in C
TL;DR: The Diskette v 2.06, 3.5''[1.44M] for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Application of an optimized digital correlation method to planar deformation analysis
TL;DR: The optimized digital correlation method has been developed to improve previously reported iterative DCMs and is shown to be much faster than previous methods while achieving accuracy equivalent to that obtained via simple coarse-fine iterative techniques.
Journal ArticleDOI
Full-field representation of discretely sampled surface deformation for displacement and strain analysis
TL;DR: In this paper, a detailed evaluation of the feasibility of determining displacements and displacement gradients from measured surface displacement fields is presented, and an improved methodology for both the estimation and elimination of noise is proposed.