Experimental dataset: stereo-DIC experiment on uniaxially loaded, S-Shaped, high density polyethylene test sample
Experimental dataset: stereo-DIC experiment on uniaxially loaded, S-Shaped, high density polyethylene test sample
Stereo-DIC experiments were performed on uniaxially loaded, s-shaped, high-density polyethylene test sample. 100 stationary images of unloaded test sample were taken for evaluation of DIC noise floor. Stereo calibration image dataset, involving a calibration target with rectangular grid (12 by 9 and pitch of 10 mm), is also made available. Tensile load from the test bench load-cell sampled at each moment an image is captured is available.
Vandepitte, Dirk
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Peshave, Amar Milind
9c2b1a61-c79f-4817-b242-5371f125d18d
Moens, David
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lava, pascal
1e5d9c1f-0ba2-4626-97cf-797d977f2eea
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Vandepitte, Dirk
2d9f426c-3d75-48c5-a241-ef763d00e9fa
Peshave, Amar Milind
9c2b1a61-c79f-4817-b242-5371f125d18d
Moens, David
d6b444c4-8114-4135-9720-d35bb674b8fe
lava, pascal
1e5d9c1f-0ba2-4626-97cf-797d977f2eea
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
(2023)
Experimental dataset: stereo-DIC experiment on uniaxially loaded, S-Shaped, high density polyethylene test sample.
Zenodo
doi:10.5281/zenodo.10066516
[Dataset]
Abstract
Stereo-DIC experiments were performed on uniaxially loaded, s-shaped, high-density polyethylene test sample. 100 stationary images of unloaded test sample were taken for evaluation of DIC noise floor. Stereo calibration image dataset, involving a calibration target with rectangular grid (12 by 9 and pitch of 10 mm), is also made available. Tensile load from the test bench load-cell sampled at each moment an image is captured is available.
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More information
Published date: 2 November 2023
Identifiers
Local EPrints ID: 485191
URI: http://eprints.soton.ac.uk/id/eprint/485191
PURE UUID: feb94555-be4b-43d6-9ccd-ef17b4f0e677
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Date deposited: 30 Nov 2023 17:59
Last modified: 01 Dec 2023 02:46
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Contributors
Contributor:
Dirk Vandepitte
Contributor:
Amar Milind Peshave
Contributor:
David Moens
Contributor:
pascal lava
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