RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications
In this current work an open-source 2D Digital Image Correlation (DIC) tool, RealPi2dDIC, is presented to monitor in situ full field deformation and strain responses of structures during loading. This software is coded in Python3 and uses Raspberry Pi as the computation and Pi camera as the imaging...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711020303587 |
| _version_ | 1818456516490952704 |
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| author | Partha Pratim Das Muthu Ram Prabhu Elenchezhian Vamsee Vadlamudi Kenneth Reifsnider Rassel Raihan |
| author_facet | Partha Pratim Das Muthu Ram Prabhu Elenchezhian Vamsee Vadlamudi Kenneth Reifsnider Rassel Raihan |
| author_sort | Partha Pratim Das |
| collection | DOAJ |
| description | In this current work an open-source 2D Digital Image Correlation (DIC) tool, RealPi2dDIC, is presented to monitor in situ full field deformation and strain responses of structures during loading. This software is coded in Python3 and uses Raspberry Pi as the computation and Pi camera as the imaging device. This low-cost approach to in situ DIC analysis enables its application in a broad field of research and industry problems where 2D strain field tensor is one of the principal interests of study. This code is provided with an interactive user interface (UI) making it user friendly and easy-to-use. Furthermore, RealPi2dDIC offers a simple software architecture which can be adopted, modified and extended to suit users’ purpose. |
| first_indexed | 2024-12-14T22:27:55Z |
| format | Article |
| id | doaj.art-3e8ec23a25f945c2ad97927780b5533d |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-12-14T22:27:55Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-3e8ec23a25f945c2ad97927780b5533d2022-12-21T22:45:18ZengElsevierSoftwareX2352-71102021-01-0113100645RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applicationsPartha Pratim Das0Muthu Ram Prabhu Elenchezhian1Vamsee Vadlamudi2Kenneth Reifsnider3Rassel Raihan4Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; Institute of Predictive Performance Methodologies, University of Texas at Arlington Research Institute, Fort Worth, TX 76118, USA; Corresponding authors.Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; Institute of Predictive Performance Methodologies, University of Texas at Arlington Research Institute, Fort Worth, TX 76118, USAInstitute of Predictive Performance Methodologies, University of Texas at Arlington Research Institute, Fort Worth, TX 76118, USADepartment of Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; Institute of Predictive Performance Methodologies, University of Texas at Arlington Research Institute, Fort Worth, TX 76118, USADepartment of Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; Institute of Predictive Performance Methodologies, University of Texas at Arlington Research Institute, Fort Worth, TX 76118, USA; Corresponding authors.In this current work an open-source 2D Digital Image Correlation (DIC) tool, RealPi2dDIC, is presented to monitor in situ full field deformation and strain responses of structures during loading. This software is coded in Python3 and uses Raspberry Pi as the computation and Pi camera as the imaging device. This low-cost approach to in situ DIC analysis enables its application in a broad field of research and industry problems where 2D strain field tensor is one of the principal interests of study. This code is provided with an interactive user interface (UI) making it user friendly and easy-to-use. Furthermore, RealPi2dDIC offers a simple software architecture which can be adopted, modified and extended to suit users’ purpose.http://www.sciencedirect.com/science/article/pii/S2352711020303587Digital Image Correlation (DIC)Lucas–Kanade algorithmExperimental mechanicsIn situ strain measurement |
| spellingShingle | Partha Pratim Das Muthu Ram Prabhu Elenchezhian Vamsee Vadlamudi Kenneth Reifsnider Rassel Raihan RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications SoftwareX Digital Image Correlation (DIC) Lucas–Kanade algorithm Experimental mechanics In situ strain measurement |
| title | RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications |
| title_full | RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications |
| title_fullStr | RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications |
| title_full_unstemmed | RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications |
| title_short | RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications |
| title_sort | realpi2ddic a low cost and open source approach to in situ 2d digital image correlation dic applications |
| topic | Digital Image Correlation (DIC) Lucas–Kanade algorithm Experimental mechanics In situ strain measurement |
| url | http://www.sciencedirect.com/science/article/pii/S2352711020303587 |
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