DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTS

In the last few decades, there has been a growing interest in studying non-contact methods for full-field displacement and strain measurement. Among such techniques, Digital Image Correlation (DIC) has received particular attention, thanks to its ability to provide these information by comparing dig...

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Main Authors: V. Belloni, R. Ravanelli, A. Nascetti, M. Di Rita, D. Mattei, M. Crespi
Format: Article
Language:English
Published: Copernicus Publications 2018-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/91/2018/isprs-archives-XLII-2-91-2018.pdf
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spelling doaj-b64c073f3f3246a98022cf1d1d73b9722020-11-25T00:01:46ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-05-01XLII-2919510.5194/isprs-archives-XLII-2-91-2018DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTSV. Belloni0R. Ravanelli1A. Nascetti2A. Nascetti3M. Di Rita4D. Mattei5M. Crespi6Geodesy and Geomatics Division, DICEA - University of Rome “La Sapienza”, Rome, ItalyGeodesy and Geomatics Division, DICEA - University of Rome “La Sapienza”, Rome, ItalyGeodesy and Geomatics Division, DICEA - University of Rome “La Sapienza”, Rome, ItalyGeoinformatics, KTH Royal Institute of Technology, Stockholm, SwedenGeodesy and Geomatics Division, DICEA - University of Rome “La Sapienza”, Rome, ItalyDepartment of Structural and Geotechnical Engineering - University of Rome La Sapienza, Rome, ItalyGeodesy and Geomatics Division, DICEA - University of Rome “La Sapienza”, Rome, ItalyIn the last few decades, there has been a growing interest in studying non-contact methods for full-field displacement and strain measurement. Among such techniques, Digital Image Correlation (DIC) has received particular attention, thanks to its ability to provide these information by comparing digital images of a sample surface before and after deformation. The method is now commonly adopted in the field of civil, mechanical and aerospace engineering and different companies and some research groups implemented 2D and 3D DIC software. In this work a review on DIC software status is given at first. Moreover, a free and open source 2D DIC software is presented, named py2DIC and developed in Python at the Geodesy and Geomatics Division of DICEA of the University of Rome “La Sapienza”; its potentialities were evaluated by processing the images captured during tensile tests performed in the Structural Engineering Lab of the University of Rome “La Sapienza” and comparing them to those obtained using the commercial software Vic-2D developed by Correlated Solutions Inc, USA. The agreement of these results at one hundredth of millimetre level demonstrate the possibility to use this open source software as a valuable 2D DIC tool to measure full-field displacements on the investigated sample surface.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/91/2018/isprs-archives-XLII-2-91-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author V. Belloni
R. Ravanelli
A. Nascetti
A. Nascetti
M. Di Rita
D. Mattei
M. Crespi
spellingShingle V. Belloni
R. Ravanelli
A. Nascetti
A. Nascetti
M. Di Rita
D. Mattei
M. Crespi
DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet V. Belloni
R. Ravanelli
A. Nascetti
A. Nascetti
M. Di Rita
D. Mattei
M. Crespi
author_sort V. Belloni
title DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTS
title_short DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTS
title_full DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTS
title_fullStr DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTS
title_full_unstemmed DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTS
title_sort digital image correlation from commercial to fos software: a mature technique for full-field displacement measurements
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2018-05-01
description In the last few decades, there has been a growing interest in studying non-contact methods for full-field displacement and strain measurement. Among such techniques, Digital Image Correlation (DIC) has received particular attention, thanks to its ability to provide these information by comparing digital images of a sample surface before and after deformation. The method is now commonly adopted in the field of civil, mechanical and aerospace engineering and different companies and some research groups implemented 2D and 3D DIC software. In this work a review on DIC software status is given at first. Moreover, a free and open source 2D DIC software is presented, named py2DIC and developed in Python at the Geodesy and Geomatics Division of DICEA of the University of Rome “La Sapienza”; its potentialities were evaluated by processing the images captured during tensile tests performed in the Structural Engineering Lab of the University of Rome “La Sapienza” and comparing them to those obtained using the commercial software Vic-2D developed by Correlated Solutions Inc, USA. The agreement of these results at one hundredth of millimetre level demonstrate the possibility to use this open source software as a valuable 2D DIC tool to measure full-field displacements on the investigated sample surface.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/91/2018/isprs-archives-XLII-2-91-2018.pdf
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