μDIC: An open-source toolkit for digital image correlation
Journal article, Peer reviewed
Published version
Permanent lenke
https://hdl.handle.net/11250/2657842Utgivelsesdato
2020Metadata
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Originalversjon
10.1016/j.softx.2019.100391Sammendrag
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.