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Digital image correlation from commercial to FOS software: A mature technique for full-field displacement measurements
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics. University of Rome La Sapienza, Rome, Italy.
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2018 (English)In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, International Society for Photogrammetry and Remote Sensing , 2018, Vol. 42, no 2, p. 91-95Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
International Society for Photogrammetry and Remote Sensing , 2018. Vol. 42, no 2, p. 91-95
Series
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, ISSN 1682-1750 ; 42
Keywords [en]
Close range photogrammetry, Commercial and free and open source software, Digital image correlation, Full-field displacement measurement
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-238220DOI: 10.5194/isprs-archives-XLII-2-91-2018Scopus ID: 2-s2.0-85048373789OAI: oai:DiVA.org:kth-238220DiVA, id: diva2:1264328
Conference
2018 ISPRS TC II Mid-term Symposium "Towards Photogrammetry 2020", 4 June 2018 through 7 June 2018
Note

QC 20181120r

Available from: 2018-11-20 Created: 2018-11-20 Last updated: 2018-11-20Bibliographically approved

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