Systematic errors in digital image correlation induced by environment temperature variation around the digital camera

2013 ◽  
Author(s):  
Qinwei Ma ◽  
Shaopeng Ma ◽  
Yongfa Zhang
Keyword(s):  
Digital Image Correlation ◽  
Temperature Variation ◽  
Digital Image ◽  
Digital Camera ◽  
Systematic Errors ◽  
Image Correlation ◽  
Environment Temperature

Digital Image Correlation as a Tool for Monitoring Crack Networks on the Surface of MgO-Based Refractory Castables

2014 ◽  
Vol 92 ◽  
pp. 242-247
Author(s):  
Rafael G.M. Saracura ◽  
Rodrigo B. Canto ◽  
Victor Carlos Pandolfelli ◽  
Nicolas Schmitt ◽  
François Hild
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Displacement Field ◽  
Digital Camera ◽  
Experimental Results ◽  
Image Correlation ◽  
Post Processing ◽  
Climatic Chamber ◽  
Refractory Castables

This paper deals with the characterization of crack networks on the surface of refractory castable slabs, which are induced by stresses arising during the curing and drying (CD) stages. Images of the surface of castable samples placed in a house-made climatic chamber were recorded during the CD stages with a digital camera and processed by Digital Image Correlation (DIC) tomeasure the displacement field. Post-processing of DIC results were performed to estimate the length, orientation and opening of cracks in networks. The methodology is detailed and first analyses of experimental results are shown.

scholarly journals New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements

2019 ◽  
Vol 9 (8) ◽  
pp. 1691 ◽  
Author(s):  
Alejandro-Israel Barranco-Gutiérrez ◽  
José-Alfredo Padilla-Medina ◽  
Francisco J. Perez-Pinal ◽  
Juan Prado-Olivares ◽  
Saúl Martínez-Díaz ◽  
...  
Keyword(s):  
Image Registration ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Surface Deformation ◽  
Initial Conditions ◽  
Low Cost ◽  
Digital Camera ◽  
Image Correlation ◽  
Camera System ◽  
Metal Sheets

Nowadays, the deformation measurement in metal sheets is important for industries such as the automotive and aerospace industries during its mechanical stamping processes. In this sense, Digital Image Correlation (DIC) has become the most relevant measurement technique in the field of experimental mechanics. This is mainly due to its versatility and low-cost compared with other techniques. However, traditionally, DIC global image registration implemented in software, such as MATLAB 2018, did not find the complete perspective transformation needed successfully and with high precision, because those algorithms use an image registration of the type “afine” or “similarity”, based on a 2D information. Therefore, in this paper, a DIC initialization method is presented to estimate the surface deformation of metal sheets used in the bodywork automotive industry. The method starts with the 3D points reconstruction from a stereoscopic digital camera system. Due to the problem complexity, it is first proposed that the user indicates four points, belonging to reference marks of a “Circle grid”. Following this, an automatic search is performed among the nearby marks, as far as one desires to reconstruct it. After this, the local DIC is used to verify that those are the correct marks. The results show reliability by reason of the high coincidence of marks in experimental cases. We also consider that the quality of mark stamping, lighting, and the initial conditions also contribute to trustworthy effects.

scholarly journals Author Correction: Modeling of systematic errors in stereo-digital image correlation due to camera self-heating

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Liping Yu ◽  
Gilles Lubineau
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Systematic Errors ◽  
Image Correlation ◽  
Self Heating ◽  
Stereo Digital Image Correlation

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

scholarly journals Digital Image Correlation for Cement-based Materials and Structural Concrete Testing

2020 ◽  
Vol 22 (1) ◽  
pp. 6-12 ◽  
Author(s):  
Asdam Tambusay ◽  
Benny Suryanto ◽  
Priyo Suprobo
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Low Cost ◽  
Digital Camera ◽  
Cement Composite ◽  
Reinforced Concrete Beam ◽  
Image Correlation ◽  
Image Recording ◽  
Composite Testing

This paper presents the application of a low-cost digital image correlation (DIC) system for automated crack mapping. The system employed makes use of a conventional digital camera, a remote image recording controller, and an open-source digital image correlation MATLAB software Ncorr. To showcase the potential of the proposed system, two case studies involving general structural and material testing were undertaken. In the first series, the DIC system was used to study the fracture processes in a reinforced concrete beam and to investigate the influence of key input parameters on the spatial quality of strain maps obtained from the DIC analysis. In the second series, the application of the DIC method was expanded to assist in the study of complex multiple micro-crack formations in ductile cement composite testing. It is shown that the strain maps obtained from the DIC technique have a close resemblance to the actual crack patterns

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