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Data Publication

Supplement to: Growing Faults in the Lab: Insights into the Scale Dependence of the Fault Zone Evolution Process

Ritter, Malte C. | Rosenau, Matthias | Oncken, Onno

GFZ Data Services

(2018)

This dataset is supplementary material to the article of Ritter et al. (2017). In this article, the similarity of fault propagation work in analogue sandbox experiments to natural fault networks is investigated through measurements in a strike-slip sandbox and in a ring-shear-tester. The transient shear strength of the samples is measured for different fault lengths and from this the work is determined. For a detailed description of the procedure and the set-up please see Ritter et al. (2017). The data available in this supplementary publication are: • For the strike-slip experiments three video sequences of the deformation together with the evolution of boundary force for fault lengths of 20 cm, 30 cm and 40 cm. The videos show the curl of the deformation field, determined by Digital Image Correlation of top-view video images. These files are in AVI-format and included in the zip folder 2017-005-Ritter-movies.zip. • A folder containing force vs. displacement measurements for each experiment (2017-005-Ritter-forces.zip). These are 25 ASCII-files that contain two columns of numerical data: the first column is the displacement in meter; the second column is the corresponding force in newton. The files are named according to the following pattern: _.asc • A Matlab script to load the force files and calculate the work. This file is called “plotwork.m” and calls the Matlab function “work.m”, which does the actual calculations. These files have been tested in Matlab version 2012b. The surface deformation data are available upon request.

Keywords


Originally assigned keywords
EPOS
multiscale laboratories
analogue models of geologic processes
analogue modelling results
software tools
PLATE BOUNDARIES
STRESS
STRAIN
transform plate boundary setting
transform faulting
Silicon
Quartz Sand
Shear box
Sandbox cm scale
Ringshear tester
Granular flow simulator
StrainMaster La Vision GmbH
Matlab Mathworks
Force sensor
Videocamera
Yield stress
Surface image

Corresponding MSL vocabulary keywords
tectonic plate boundary
strain
strain
transcurrent tectonic plate boundary
silicon
silicon
shear box
granular flow simulator
StrainMaster (La Vision GmbH)
Matlab (Mathworks)
video camera
yield strength
yield strength
model surface monitoring (2D)

MSL enriched keywords
tectonic plate boundary
Measured property
strain
Measured property
strain
transcurrent tectonic plate boundary
minerals
chemical elements
silicon
measured property
silicon
Apparatus
analogue modelling
deformation experiments
shear box
hydrodynamic experiments
granular flow simulator
Software
digital image correlation (DIC)
StrainMaster (La Vision GmbH)
Matlab (Mathworks)
Ancillary equipment
model surface monitoring (2D)
camera
video camera
mechanical strength
yield strength
mechanical strength
yield strength
tectonic deformation structure
tectonic fault
shear strength
shear strength

MSL original sub domains

analogue modelling of geologic processes

MSL enriched sub domains i

analogue modelling of geologic processes
rock and melt physics
geochemistry


Source publisher

GFZ Data Services


DOI

10.5880/GFZ.4.1.2017.004


Authors

Ritter, Malte C.

0000-0003-1212-4978

GFZ German Research Centre for Geosciences, Potsdam, Germany

Rosenau, Matthias

0000-0003-1134-5381

GFZ German Research Centre for Geosciences, Potsdam, Germany

Oncken, Onno

0000-0002-2894-480X

GFZ German Research Centre for Geosciences, Potsdam, Germany


References

Ritter, M. C., Rosenau, M., & Oncken, O. (2018). Growing Faults in the Lab: Insights Into the Scale Dependence of the Fault Zone Evolution Process. Tectonics, 37(1), 140–153. Portico. https://doi.org/10.1002/2017tc004787

10.1002/2017TC004787

IsSupplementTo


Contact

Rosenau, Matthias

rosen@gfz-potsdam.de

GFZ German Research Centre for Geosciences, Potsdam, Germany


Citiation

Ritter, M. C., Rosenau, M., & Oncken, O. (2017). Supplement to: Growing Faults in the Lab: Insights into the Scale Dependence of the Fault Zone Evolution Process [Data set]. GFZ Data Services. https://doi.org/10.5880/GFZ.4.1.2017.004