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Data Publication

Digital Image Correlation of strike slip experiments in wet kaolin at different strain rates and boundary conditions

Cooke, Michele | Elston, Hanna | Chaipornkaew, Laainam

GFZ Data Services

(2021)

The data set includes the digital image correlation of 16 dextral strike-slip experiments performed at the University of Massachusetts at Amherst (USA). The DIC data sets were used for a machine learning project to build a CNN that can predict off-fault deformation from active fault trace maps. The experimental set up and methods are described with the main text and supplement to Chaipornkaew et al (in prep). To map active fault geometry and calculate the off-fault deformation we use the Digital Image Correlation (DIC) technique of Particle Image Velocimetry (PIV) to produce incremental horizontal displacement maps. Strain maps of the entire region of interest can be calculated from the displacements maps to determine the fault maps and estimate off-fault strain throughout the Region of Interest (ROI). We subdivide each ROI into five subdomains, windows, for training the CNN. This allows a larger dataset from the experimental results. The data posted here include the incremental displacement time series and animations of strain for the entire ROI.

Keywords


Originally assigned keywords
EPOS
multiscale laboratories
analog models of geologic processes
analog modelling results
software tools
analog experiments
fault evolution
strikeslip
wet kaolin
Clay
shearing
Digital Image Correlation DIC Particle Image Velocimetry PIV
Matlab Mathworks
Shear box
SLR camera
Surface image
transform plate boundary setting
wrench fault

Corresponding MSL vocabulary keywords
clay
clay
Matlab (Mathworks)
shear box
camera
model surface monitoring (2D)
transcurrent tectonic plate boundary
wrench fault

MSL enriched keywords
minerals
silicate minerals
phyllosilicates
clay
unconsolidated sediment
clastic sediment
clay
Software
Matlab (Mathworks)
Apparatus
analogue modelling
deformation experiments
shear box
Ancillary equipment
model surface monitoring (2D)
camera
tectonic plate boundary
transcurrent tectonic plate boundary
tectonic deformation structure
tectonic fault
wrench fault
Measured property
strain
Measured property
strain
digital image correlation (DIC)
particle image velocimetry (PIV)

MSL enriched sub domains i

analogue modelling of geologic processes
rock and melt physics


Source publisher

GFZ Data Services


DOI

10.5880/GFZ.fidgeo.2021.029


Authors

Cooke, Michele

0000-0002-4407-9676

University of Massachusetts, Amherst, US

Elston, Hanna

0000-0002-2420-5241

University of Massachusetts, Amherst, US

Chaipornkaew, Laainam

0000-0003-2021-3655

Stanford University, Stanford, US


References

Chaipornkaew, L., Elston, H., Cooke, M. L., Mukerji, T., & Graham, S. A. (2021). Prediction of Off-Fault Deformation from Experimental Strike-slip Fault Structures using the Convolutional Neural Networks. https://doi.org/10.1002/essoar.10507909.1

10.1002/essoar.10507909.1

IsSupplementTo

Bradley, D., & Roth, G. (2007). Adaptive Thresholding using the Integral Image. Journal of Graphics Tools, 12(2), 13–21. https://doi.org/10.1080/2151237x.2007.10129236

10.1080/2151237X.2007.10129236

Cites

Cites


Contact

Cooke, Michele

cooke@umass.edu

University of Massachusetts, Amherst, US


Citiation

Cooke, M., Elston, H., & Chaipornkaew, L. (2021). Digital Image Correlation of strike slip experiments in wet kaolin at different strain rates and boundary conditions (Version 1) [Data set]. GFZ Data Services. https://doi.org/10.5880/GFZ.FIDGEO.2021.029