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 supporting the University of Southampton Doctoral Thesis "Identification of the mechanical behaviour of bone using digital image correlation and the virtual fields method".
This dataset is supporting the University of Southampton Doctoral Thesis "Identification of the mechanical behaviour of bone using digital image correlation and the virtual fields method".
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.
University of Southampton
Tavianatou, Panagiota
5b5bdb86-eede-414e-bbc2-63d240a31b8b
Fletcher, Lloyd
48dca64b-f93c-4655-9205-eaf4e74be90c
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Tavianatou, Panagiota
5b5bdb86-eede-414e-bbc2-63d240a31b8b
Fletcher, Lloyd
48dca64b-f93c-4655-9205-eaf4e74be90c
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Tavianatou, Panagiota
(2023)
Dataset supporting the University of Southampton Doctoral Thesis "Identification of the mechanical behaviour of bone using digital image correlation and the virtual fields method".
University of Southampton
doi:10.5258/SOTON/D2676
[Dataset]
Abstract
This dataset is supporting the University of Southampton Doctoral Thesis "Identification of the mechanical behaviour of bone using digital image correlation and the virtual fields method".
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.
Text
D2676_thesis_readme.txt
- Dataset
Archive
Dataset_Thesis.zip
- Image
More information
Published date: 2023
Identifiers
Local EPrints ID: 478058
URI: http://eprints.soton.ac.uk/id/eprint/478058
PURE UUID: 69460c09-e4a2-4bf2-a1b1-7134fb4904ea
Catalogue record
Date deposited: 21 Jun 2023 16:42
Last modified: 22 Jun 2023 01:44
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Contributors
Creator:
Panagiota Tavianatou
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