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Metadata Files

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)

Descriptions

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.
We document the evolution of dextral strike-slip faults within wet kaolin loaded within a split box. All experiments used a 2.5 cm claybox but we varied 1) the loading rate from 0.25 to 1.5 mm/min, and the localized or distributed basal shear (abutting basalt plates or 2.5 cm wide elastic sheet respectively). All experiments were repeated twice. Red and black sand grains distributed on the surface of the clay provide the pixel variation that allow us to calculate the incremental horizontal displacement fields from the photos of the clay surface using DIC techniques. The distribution of sand and timing of photos are set to optimize both data resolution and displacement uncertainty. allows for <0.01 mm uncertainty of horizontal displacement between successive images of our experiment measured at points with spacing of 1 mm. We use the matlab based PIVlab (Thielicke,2019) with a fast Fourier transform three-pass filter to optimize displacement resolution. Through the three passes with linear interpolation, the initial window size of 64 pixels reduces to 16 pixels, which corresponds to incremental displacement data every 0.89 mm. The resulting displacements vary along the edges of the ROI far from faults with mean standard of deviation of <0.01 mm. We consider this to be the uncertainty of the incremental displacements.

Keywords


Originally assigned keywords
EPOS
multi-scale laboratories
analog models of geologic processes
analog modelling results
software tools
analog experiments
fault evolution
strike-slip
wet kaolin
Clay
deformation &gt; shearing
Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV)
Matlab (Mathworks)
Shear box
SLR camera
Surface image
tectonic setting &gt; plate margin setting &gt; transform plate boundary setting
wrench fault

Corresponding MSL vocabulary keywords
clay
clay
Matlab (Mathworks)
shear box
camera
model surface monitoring (2D)
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 deformation structure
tectonic fault
wrench fault
Measured property
strain
Measured property
strain
digital image correlation (DIC)
particle image velocimetry (PIV)
igneous rock - extrusive
basic extrusive
basalt
sand
PIV - PIVlab
strike-slip fault

MSL enriched sub domains i

analogue modelling of geologic processes
rock and melt physics

Source

https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=82d4e24a-e62e-11eb-9603-497c92695674

Source publisher

GFZ Data Services


DOI

10.5880/gfz.fidgeo.2021.029


Creators

Cooke, Michele

University of Massachusetts, Amherst, US

ORCID:

https://orcid.org/0000-0002-4407-9676

Elston, Hanna

University of Massachusetts, Amherst, US

ORCID:

https://orcid.org/0000-0002-2420-5241

Chaipornkaew, Laainam

Stanford University, Stanford, US

ORCID:

https://orcid.org/0000-0003-2021-3655


Contributors

Cooke, Michele

ContactPerson

University of Massachusetts, Amherst, US

ORCID:

https://orcid.org/0000-0002-4407-9676

Elston, Hanna

DataCollector

University of Massachusetts, Amherst, US

ORCID:

https://orcid.org/0000-0002-2420-5241

Chaipornkaew, Laainam

DataCollector

Stanford University, Stanford, US

ORCID:

https://orcid.org/0000-0003-2021-3655

Geomechanics Physical Modeling Lab (University Of Massachusetts Amherst, US)

HostingInstitution

University of Massachusetts, Amherst, US

Cooke, Michele

ContactPerson

University of Massachusetts, Amherst, US


References

10.1002/essoar.10507909.1

10.1080/2151237x.2007.10129236

https://www.mathworks.com/matlabcentral/fileexchange/27659-pivlab-particle-image-velocimetry-piv-tool


Citation

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


Dates

Created:

2021-07-01

Issued:

2021


Rights

Creative Commons Attribution 4.0 International


Datacite version

1