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dc.contributor.author
Li, Ying
dc.contributor.contactPerson
Li, Ying
dc.contributor.dataCollector
Li, Ying
dc.contributor.projectLeader
Loew, Simon
dc.contributor.projectManager
Loew, Simon
dc.contributor.projectMember
Leith, Kerry
dc.contributor.relatedPerson
Perras, Matthew A.
dc.date.accessioned
2022-06-27T10:44:02Z
dc.date.available
2022-01-07T18:05:17Z
dc.date.available
2022-01-10T06:39:35Z
dc.date.available
2022-01-10T09:18:14Z
dc.date.available
2022-01-26T15:17:31Z
dc.date.available
2022-06-27T10:44:02Z
dc.date.issued
2022
dc.identifier.uri
http://hdl.handle.net/20.500.11850/523966
dc.identifier.doi
10.3929/ethz-b-000523966
dc.description.abstract
Digital image correlation was used in parallel with longitudinal extensometer-based measurements during the uniaxial compression test under continuous humidity variation, with the digital images acquisition system outside the climate chamber, free from climate interference. DIC analysis was undertaken using the open-source 2D digital image correlation software Ncorr. It tracks surface deformation by correlating the best fit between pixel values within a defined search window in images taken during hold steps to those in the reference image acquired immediately prior to the first load step. --> In order to validate strains measured by a mechanically-mounted extensometer during a uniaxial compression test on a Herrnholz granite specimen exposed to continuous humidity variation, digital image correlation (DIC) analysis was used in parallel with longitudinal extensometer-based measurements. We analyzed 425 images using the open-source MATLAB programme Ncorr. It tracks surface deformation by correlating the best fit between pixel values within a defined search window in images taken during hold steps (0.1 MPa axial stress) to those in the reference image acquired immediately prior to the first load step. The search window was set to be 50 pixels in radius, providing a measured displacement field at a resolution of 1 mm. Due to the distortion in cylindrical projection, we focused on displacement within a 1 mm wide region in the middle of the projected surface, where the distortion is very pale. We tracked the DIC-based axial strain by averaging the vertical strain within a 1 × 100 mm (width: height) window (50 × 5000 pixels) corresponding to the position of the longitudinal extensometer. The DIC-based radial strain was estimated by averaging the horizontal strain within a selected 1 × 1 mm (50 × 50 pixels) region at the midpoint of the specimen.
en_US
dc.format
application/x-matlab-data
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.subject
Digital image correlation (DIC)
en_US
dc.title
Digital image correlation analysis (uniaxial compression testing)
en_US
dc.type
Image
dc.date.published
2022-01-10
ethz.size
1.77 GB
en_US
ethz.publication.place
Zurich
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02704 - Geologisches Institut / Geological Institute::03465 - Löw, Simon (emeritus) / Löw, Simon (emeritus)
en_US
ethz.date.retentionend
15 years
en_US
ethz.date.retentionendDate
2037-01-10T06:39:47Z
ethz.date.deposited
2022-01-07T18:05:23Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Embargoed
en_US
ethz.date.embargoend
2023-01-01
ethz.rosetta.installDate
2022-03-29T18:03:42Z
ethz.rosetta.lastUpdated
2022-03-29T18:03:42Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.rosetta.versionExported
true
ethz.COinS
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