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μ DIC: An open-source toolkit for digital image correlation

We here present a Digital Image Correlation toolkit, formulated as a Python package. This package aims at providing a complete toolkit for performing DIC analysis on experimental data, performing virtual experiments, as well as a framework for further development. A suite of tools for generating syn...

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Bibliographic Details
Published in:SoftwareX 2020-01, Vol.11, p.100391, Article 100391
Main Authors: Olufsen, Sindre Nordmark, Andersen, Marius Endre, Fagerholt, Egil
Format: Article
Language:English
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Summary:We here present a Digital Image Correlation toolkit, formulated as a Python package. This package aims at providing a complete toolkit for performing DIC analysis on experimental data, performing virtual experiments, as well as a framework for further development. A suite of tools for generating synthetic speckle images, modelling of sensor artefacts and deformation of images by displacement fields, are included. The virtual experiments are used as a part of the accuracy assessment of the toolkit as well as for testing during development. B-spline elements are employed for the discretisation of the displacement fields and allow the polynomial order and degree of continuity to be controlled by the user.
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2019.100391