An Open-Source 2D Digital Image Correlation Software: Case Study on the Hyperelastic Behaviour of Silicone-Based Material

João C. A. D. Filho, Luiz C. S. Nunes, José Xavier

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Digital Image Correlation (DIC) is an optical-numerical method used to compute displacement and strain fields of target surfaces. This method has been widely implemented in the study of structures and to perform inspections, at several observation scales. Several software have been already proposed to carry out DIC measurements. In this study, a new integrated open-source DIC software is presented, so-called iCorrVision-2D. This DIC software includes a build-in grabber and post-processing modules that are not usually available on other open-source or commercial DIC software. The accuracy of this software is verified using an experimental dataset of silicone-based specimens subjected to uniaxial tensile test. The isotropic hyperelastic behaviour of the silicone-based specimens was investigated using the Neo-Hookean, Mooney-Rivlin, Lopez-Pamies, Ogden and Yeoh models. Results indicate that this software can be efficiently used to reconstruct the displacement and strain maps, yielding consistent mechanical properties for the hyperelastic material. This case study is important to illustrate the reliability of DIC on measuring deformations that have been used to extract relevant mechanical properties. This software can then be used consistently for other engineering applications.
Original languageEnglish
Title of host publicationTesting and Experimentation in Civil Engineering
Subtitle of host publicationFrom Current to Smart Technologies
EditorsCarlos Chastre, José Neves, Diogo Ribeiro, Fernando F. S. Pinho, Hugo Biscaia, Maria Graça Neves
Place of PublicationCham
PublisherSpringer
Pages397-407
Number of pages11
ISBN (Electronic)978-3-031-29191-3
ISBN (Print)978-3-031-29190-6
DOIs
Publication statusPublished - 2023

Publication series

NameRILEM Bookseries
PublisherSpringer
Volume41
ISSN (Print)2211-0844
ISSN (Electronic)2211-0852

Keywords

  • Digital Image Correlation
  • Isotropic hyperelastic models
  • Open-source
  • Python
  • Silicone

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