A coupled 3D laser scanning and digital image correlation system for geometry acquisition and deformation monitoring of a railway tunnel

2019 ◽  
Vol 91 ◽  
pp. 102995 ◽  
Author(s):  
Behzad V. Farahani ◽  
Francisco Barros ◽  
Pedro J. Sousa ◽  
Pedro P. Cacciari ◽  
Paulo J. Tavares ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Laser Scanning ◽  
Deformation Monitoring ◽  
Image Correlation ◽  
3D Laser Scanning ◽  
Railway Tunnel ◽  
Correlation System

scholarly journals Using cell cross-section dimensions and digital image correlation to evaluate drying shrinkage and collapse in Eucalyptus nitens wood

BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 6149-6164
Author(s):  
Alan Dickson ◽  
Bernard Dawson
Keyword(s):  
Digital Image Correlation ◽  
Cross Section ◽  
Digital Image ◽  
Laser Scanning ◽  
Drying Shrinkage ◽  
Laser Scanning Microscopy ◽  
Image Correlation ◽  
Confocal Laser ◽  
Eucalyptus Nitens ◽  
Vessel Elements

An approach combining maps of wood morphology and digital image correlation was developed to investigate the drying of Eucalyptus nitens wood. Maps of morphological features (vessel and ray distribution) and cell cross-section dimensions were acquired by confocal laser scanning microscopy. Shrinkage maps were generated using digital image correlation. There were statistically significant correlations between shrinkage/collapse and wood morphology at two levels. Firstly, there were positional relationships, with for example, both radial and tangential shrinkage increasing with increasing distance from vessel elements. Secondly, there were dimensional relationships, such as, cells with large perimeters (relative to their wall thickness) on average showing greater shrinkage. Generally, the positional relationships dominated the dimensional relationships. Detailed analysis over large areas allows for a fuller analysis of the interrelationship between wood morphology and drying shrinkage and collapse.

scholarly journals Application of digital image correlation system for analysis of local plastic instabilities of perforated thin-walled bars

2018 ◽  
Vol 196 ◽  
pp. 01032 ◽  
Author(s):  
Andrzej Piotrowski ◽  
Marcin Gajewski ◽  
Cezary Ajdukiewicz
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Plastic Material ◽  
Low Carbon Steel ◽  
Image Correlation ◽  
Theoretical Point ◽  
Low Carbon ◽  
Compression Tests ◽  
Correlation System ◽  
Thin Walled

In the presented paper the local instabilities occurring in compression test of perforated thin-walled bars of low slenderness are observed using digital image correlation system ARAMIS. The tested samples slenderness is so low, that from theoretical point of view we are dealing with compression tests of some perforated shells. The samples are made from typical low carbon steel, which has to be treated as elasto-plastic material. Because of that, the final geometry of the sample (after unloading) is also analysed giving a good data for calibration of the theory of elasto-plasticity for large deformations. In analysed cases the total strain values are not exceptionally large, while local rotation (and permanent deformations) have significant values.

Development of draw-bending testing method using digital image correlation system

2017 ◽  
Author(s):  
Chiharu Sekiguchi ◽  
Tomoyuki Hakoyama ◽  
Toshihiko Kuwabara ◽  
Hiroshi Fukiharu
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
Testing Method ◽  
Correlation System ◽  
Draw Bending

scholarly journals Validation of a Numerical Bending Model for Sandwich Beams with Textile-Reinforced Cement Faces by Means of Digital Image Correlation

2019 ◽  
Vol 9 (6) ◽  
pp. 1253 ◽  
Author(s):  
Jolien Vervloet ◽  
Tine Tysmans ◽  
Michael El Kadi ◽  
Matthias De Munck ◽  
Panagiotis Kapsalis ◽  
...  
Keyword(s):  
Numerical Model ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Numerical Models ◽  
Sandwich Panels ◽  
Surface Strain ◽  
Image Correlation ◽  
Four Point Bending ◽  
Reinforced Cement ◽  
Correlation System

Sandwich panels with textile-reinforced cement (TRC) faces merge both structural and insulating performance into one lightweight construction element. To design with sandwich panels, predictive numerical models need to be thoroughly validated, in order to use them with high confidence and reliability. Numerical bending models established in literature have been validated by means of local displacement measurements, but are missing a full surface strain validation. Therefore, four-point bending tests monitored by a digital image correlation system were compared with a numerical bending model, leading to a thorough validation of that numerical model. Monitoring with a digital image correlation (DIC) system gave a highly detailed image of behaviour during bending and the strains in the different materials of the sandwich panel. The measured strains validated the numerical model predictions of, amongst others, the multiple cracking of the TRC tensile face and the shear deformation of the core.

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