READ ME File For Dataset supporting the University of Southampton Doctoral Thesis
"Identification of the mechanical behaviour of bone using digital image correlation and the virtual fields method".

Dataset DOI: 10.5258/SOTON/D2676

ReadMe Author: PANAGIOTA TAVIANATOU, University of Southampton 0009-0000-0192-7375

This dataset supports the thesis entitled "Identification of the mechanical behaviour of bone using digital image correlation and the virtual fields method".
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2023

DESCRIPTION OF THE DATA


This dataset contains:
The Folder 'GF' contains images captured from the two cameras (C0, C1) during experiments on glass-fibre epoxy composites. The images are processed with MatchID software. The processing options are stored in the files 'C0.mti' and 'C1.mti', for the cameras C0 and C1, respectively. The file 'image.csv' contains the name of each pair of images, the time they were collected and the respective force at that time. (Chapter 5)
The Folder 'Bone' contains images captured from the two cameras (C0, C1) during experiments on human cortical bone samples. The images are processed with MatchID software. The processing options are stored in the files 'C0.mti' and 'C1.mti', for the cameras C0 and C1, respectively. The file 'image.csv' contains the name of each pair of images, the time they were collected and the respective force at that time. (Chapter 6)
The file 'OffAxis_VFM.m' contains the MatLab VFM code, which is used in Chapters 4-6.


Date of data collection: 2020-2022

Information about geographic location of data collection: University of Southampton

Licence:
CC BY



Date that the file was created: June 2023