The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Dataset for 'Development of new virtual fields for the non-linear virtual fields method'

Dataset for 'Development of new virtual fields for the non-linear virtual fields method'
Dataset for 'Development of new virtual fields for the non-linear virtual fields method'
Experimental data and Matlab codes developed during the PhD project. The data contain raw images collected during experiments, the reference data for material and the VFM program used to process the data. See README file for more details. Due to the size of the data, it isavailable on request via https://library.soton.ac.uk/datarequest
Digital Image Correlation, Sensitivity-based virtual fields, Virtual fields method, Experimental Mechanics
University of Southampton
Marek, Aleksander
6d758ff6-6423-462d-88e9-d44e71df4c3d
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Davis, Frances
20f89066-bbac-42dc-908d-d89a747dc399
Marek, Aleksander
6d758ff6-6423-462d-88e9-d44e71df4c3d
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Davis, Frances
20f89066-bbac-42dc-908d-d89a747dc399

Marek, Aleksander (2018) Dataset for 'Development of new virtual fields for the non-linear virtual fields method'. University of Southampton doi:10.5258/SOTON/D0725 [Dataset]

Record type: Dataset

Abstract

Experimental data and Matlab codes developed during the PhD project. The data contain raw images collected during experiments, the reference data for material and the VFM program used to process the data. See README file for more details. Due to the size of the data, it isavailable on request via https://library.soton.ac.uk/datarequest

Text
readme.txt - Dataset
Available under License Creative Commons Attribution.
Download (2kB)

More information

Published date: 9 November 2018
Related URLs:
Keywords: Digital Image Correlation, Sensitivity-based virtual fields, Virtual fields method, Experimental Mechanics
Organisations: Education Hub, Mechanical Engineering

Identifiers

Local EPrints ID: 426382
URI: http://eprints.soton.ac.uk/id/eprint/426382
DOI: doi:10.5258/SOTON/D0725
PURE UUID: 946ccccd-cd1a-4041-a9f6-189866f70464
ORCID for Fabrice Pierron: ORCID iD orcid.org/0000-0003-2813-4994

Catalogue record

Date deposited: 26 Nov 2018 17:31
Last modified: 13 Nov 2023 02:42

Export record

Altmetrics

Contributors

Creator: Aleksander Marek
Research team head: Fabrice Pierron ORCID iD
Research team head: Frances Davis

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×