Treffer: RealPi2dDIC: A low-cost and open-source approach to In-situ 2D Digital Image Correlation (DIC) applications

Title:
RealPi2dDIC: A low-cost and open-source approach to In-situ 2D Digital Image Correlation (DIC) applications
Authors:
Das, Partha Pratim, Elenchezhian, Muthu Ram Prabhu, Vadlamudi, Vamsee, Reifsnider, Kenneth, André, Damien, Raihan, Rassel
Contributors:
NanoMegas SRPL, Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, IRCER - Axe 4 : céramiques sous contraintes environnementales (IRCER-AXE4), Institut de Recherche sur les CERamiques (IRCER), Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Matériaux Procédés Environnement Ouvrages (IMPEO), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Matériaux Procédés Environnement Ouvrages (IMPEO), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)
Source:
SoftwareX. 27:101864-101864
Publisher Information:
CCSD; Elsevier, 2024.
Publication Year:
2024
Collection:
collection:UNILIM
collection:CNRS
collection:SPCTS
collection:SPCTS-AXE4
collection:INC-CNRS
collection:IRCER
collection:IRCER-AXE4
collection:IMPEO
Subject Terms:
opencv, numpy, scipy, picamera, matplotlib Compilation requirements, operating environments & dependencies Raspberry Pi, Raspbian OS, Pi camera module v2, Digital Image Correlation (DIC) Lucas-Kanade Algorithm Experimental Mechanics In-situ strain measurement Python3 opencv numpy scipy picamera matplotlib Compilation requirements operating environments & dependencies Raspberry Pi Raspbian OS Pi camera module v2, Digital Image Correlation (DIC) Lucas-Kanade Algorithm Experimental Mechanics In-situ strain measurement Python3, [SPI]Engineering Sciences [physics]
Original Identifier:
HAL: hal-04863813
Document Type:
Zeitschrift article<br />Journal articles
Language:
English
ISSN:
2352-7110
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.softx.2024.101864
DOI:
10.1016/j.softx.2024.101864
Access URL:
https://hal.science/hal-04863813
https://hal.science/hal-04863813v1/document
https://hal.science/hal-04863813v1/file/1-s2.0-S2352711024002346-main.pdf
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.04863813v1
Database:
HAL

Weitere Informationen

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.