Abstract
Thanks to the advances in computer power, memory storage and the availability of low-cost and high resolution digital cameras, Digital Image Correlation (DIC) is currently one of the most used optical and non-contact techniques for measuring material deformations. A free and open source 2D DIC software, named py2DIC, was developed at the Geodesy and Geomatics Division of the Sapienza University of Rome. Implemented in Python, the software is based on the template matching method and computes the 2D displacements and strains of samples subjected to mechanical loading. In this work, the potentialities of py2DIC were evaluated by processing two different sets of experimental data and comparing the results with other three well known DIC software packages Ncorr, Vic-2D and DICe. Moreover, an accuracy assessment was performed comparing the results with the values independently measured by a strain gauge fixed on one of the samples. The results demonstrate the possibility of successfully characterizing the deformation mechanism of the investigated materials, highlighting the pros and cons of each software package.
Highlights
The last few decades have been characterized by a continuous development of non-contact measurement techniques for displacement and deformation estimation [1,2,3,4,5,6,7]
Conclusions and Prospects py2DIC, a free and open source 2D Digital Image Correlation (DIC) software was developed at the Geodesy and Geomatics Division of the Sapienza University of Rome
The potentialities of the developed software were investigated by processing two different sets of experimental images and comparing the results with those supplied by the three well known software packages, one commercial (Vic-2D) and two free and open source (Ncorr and DICe) and with those coming from independent measurements by a strain gauge fixed on one of the samples
Summary
The last few decades have been characterized by a continuous development of non-contact measurement techniques for displacement and deformation estimation [1,2,3,4,5,6,7]. Local DIC estimates displacement and strain fields by correlating each subregion of the AOI at different stages of deformation to the corresponding subregion at the reference stage [10]. Global DIC usually discretizes the specified AOI with a finite element (FE) mesh and tracks all these elements in the target image simultaneously In this way, displacement continuity can be explicitly ensured between adjacent elements by the shared nodes of the FE mesh [8]. Open source software can remarkably reduce costs and can be tailored to user needs [11,12] For all these reasons, several research DIC codes were developed and made freely available to the scientific community.
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