Digital volume correlation (DVC) is used in material science to quantify the internal displacements and calculate strain fields from in situ tomography experiments.This workshop will cover the theory of in situ tomography experiments and DVC analysis, followed by a practical session using the Collaborative Computational Project in Tomographic Imaging (CCPi) iDVC app.
Learning outcomes:
- Understand key experimental aspects of in situ tomography for DVC analysis.
- Understand and manage the overall workflow for DVC analysis using iDVC.
- Gain experience with tailoring iDVC settings for specific analysis goals.
Download Data
Download both reference and correlate files (2.4 Gb each) and an example_pointcloud for the training. Download one or all of the following different file formats:
These files come from a training dataset, we published earlier.
Install instructions
Binary installation of iDVC can be achieved with conda. Currently we only support the Windows, although a Linux version is also available.
We recommend using either miniconda or miniforge, which are both minimal installers for conda. We also recommend a conda version of at least 23.10 for quicker installation.
Install a new environment using:
conda create --name idvc_environment -c conda-forge -c ccpi idvc=24.0.1
Activate the environment and type idvc in the command prompt