READ ME File For 'Dataset for 'Development of new virtual fields for the non-linear virtual fields method''

Dataset DOI: 10.5258/SOTON/D0725

Author: Aleksander Marek, University of Southampton, ORCID: 0000-0003-4604-3949

This dataset supports the publication:
Marek, A 2019, 'Development of new virtual fields for the non-linear virtual fields method', Doctor of Philosophy, University of Southampton.


This dataset contains:

This data set contains following data:

- DN archives: 
	raw images (*.tiff) obtained during testing of deep-notched (DN) specimens of DC04 cold-rolled sheet. These images can be used with stereo-DIC to calculate displacement and deformation fields.
	The archives corresponding to Camera0 contain additionally a calibration file (.csv) for the stereo setup, and Images.csv file, containing data about force from the load cell of the test machine.
	Calibration has been performed with MatchID v.2018.1.1 (https://www.matchid.eu/)
	
- The reference quasi-static (QS) data for DC04 cold-rolled steel collected with dogbone tests (QS_data_DC04.mat):
	The .mat file (generated with Matlab R2018a) contain following data for three orientation of dogbone (DB) tests:
		-stress
		-strain
		-plastic longitudinal strain
		-plastic transverse strain
	Additionally data collected in a bulge test is included:
		-Membrane stress
		-Thickness strain
		-Major strain
		-Minor strain
		
- The Virtual Field Method (VFM) program, developed during the course of PhD (VFM_Program.zip):
	The program was implemented using Matlab (R2018a) and has its own README file, as well as documentation. 
	
- Matlab functions that can be used to implement sensitivity-based virtual fields (SBVFs_library.zip):
	Two Matlab functions also found in the VFM program, that can be used to construct virtual mesh and project stress sensitivities onto virtual mesh to generate SBVFs.
	

This dataset, approx 55GB, is available on request via the webform at https://library.soton.ac.uk/datarequest

Licence: CC-BY



Read Me file created: May 2022