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Data Publication

Ring shearspan> test data of quartz sand and colored quartz sand used for analogue modelling in the Laboratorio de modelización analógica, Universidad de Zaragoza, Spain (EPOS TNA call 2017).

Román-Berdiel, Teresa | Casas, Antonio M. | Pueyo, Emilio Luis | Peiro Chamarro, Alba | Soto, Ruth | Pohlenz, Andre | Warsitzka, Michael | Rosenau, Matthias

GFZ Data Services

(2019)

This dataset provides friction data from ring-shear tests (RST) on different types of quartz sand used in the Laboratorio de modelización analógica of the Universidad de Zaragoza (UZ, Spain) as an analogue for brittle layers in the crust or lithosphere (Izquierdo-Llavall & Casas-Sainz, 2012; Calvín et al., 2013; Pueyo Anchuela et al., 2016; Peiro et al., 2018; Pueyo et al., 2018; Izquierdo-Llavall et al., submitted). The materials (quartz sand, green coloured quartz sand mixture, black coloured quartz sand) have been characterized by means of internal friction coefficients µ and cohesions C as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam. According to our analysis the materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Friction coefficients of the pure quartz sand and the green quartz sand mixture are similar (µP = 0.74 – 0.76, µD = 0.56 – 0.60, µR = 0.61 – 0.64), whereas friction coefficients of the black coloured quartz sand are lower (µP = 0.48, µD = 0.39, µR = 0.45). Cohesions of all sands range between 40 and 150 Pa. A minor rate-weakening of ~1 % per ten-fold change in shear velocity v is evident. The tested materials are quartz sands with a grain size of 0.063 – 0.4 mm and bulk densities of ρ = 1610-1800 kg m^-3. The data presented here are derived by ring shearspan> testing using a SCHULZE RST-01.pc (Schulze, 1994, 2003, 2008) at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam. The RST is specially designed to measure friction coefficients µ and cohesions C in loose granular material accurately at low confining pressures and shear velocities similar to sandbox experiments.

Keywords


Originally assigned keywords
EPOS
Multiscale laboratories
analogue models of geologic processes
property data of analogue modelling materials
TECTONICS
CALIBRATIONVALIDATION
upper continental crustal setting
fracturing
wrench fault
thrust fault
fault
tectonic and structural features
Quartz Sand
Ringshear tester
Force sensor
Friction coefficient
Cohesion

Corresponding MSL vocabulary keywords
tectonic plate boundary
upper crust
wrench fault
thrust fault
friction coefficient
frictional deformation
friction coefficient
cohesion
cohesion

MSL enriched keywords
tectonic plate boundary
Earth's structure
Earth crust
upper crust
tectonic deformation structure
tectonic fault
wrench fault
thrust fault
Measured property
friction - controlled slip rate
friction coefficient
Inferred deformation behavior
deformation behaviour
frictional deformation
Measured property
friction - controlled slip rate
friction coefficient
cohesion
cohesion
minerals
silicate minerals
tectosilicates
quartz
unconsolidated sediment
clastic sediment
sand
Apparatus
deformation testing
shear testing
rotary shear apparatus
Apparatus
analogue modelling
characterization of modelling material
frictional property determination
rotary shear apparatus
brittle deformation
deformation experiments
lithosphere
Analyzed feature
grain size and configuration
grain size

MSL original sub domains

analogue modelling of geologic processes

MSL enriched sub domains i

analogue modelling of geologic processes
rock and melt physics
microscopy and tomography


Source publisher

GFZ Data Services


DOI

10.5880/fidgeo.2019.025


Authors

Román-Berdiel, Teresa

0000-0002-9743-8695

Departamento de Ciencias de la Tierra, Universidad de Zaragoza

Casas, Antonio M.

0000-0003-3652-3527

Departamento de Ciencias de la Tierra, Universidad de Zaragoza

Pueyo, Emilio Luis

0000-0002-0504-2352

Instituto Geológico y Minero de España

Peiro Chamarro, Alba

Departamento de Ciencias de la Tierra, Universidad de Zaragoza

Soto, Ruth

0000-0002-1929-8850

Instituto Geológico y Minero de España

Pohlenz, Andre

GFZ German Research Centre for Geosciences, Potsdam, Germany

Warsitzka, Michael

0000-0003-1774-5888

GFZ German Research Centre for Geosciences, Potsdam, Germany

Rosenau, Matthias

0000-0003-1134-5381

GFZ German Research Centre for Geosciences, Potsdam, Germany


References

Cites

Klinkmüller, M., Schreurs, G., Rosenau, M., & Kemnitz, H. (2016). Properties of granular analogue model materials: A community wide survey. Tectonophysics, 684, 23–38. https://doi.org/10.1016/j.tecto.2016.01.017

10.1016/j.tecto.2016.01.017

Cites

Cites

Cites

Cites

Ritter, M. C., Leever, K., Rosenau, M., & Oncken, O. (2016). Scaling the sandbox—Mechanical (dis) similarities of granular materials and brittle rock. Journal of Geophysical Research: Solid Earth, 121(9), 6863–6879. Portico. https://doi.org/10.1002/2016jb012915

10.1002/2016JB012915

Cites

Santimano, T., Rosenau, M., & Oncken, O. (2015). Intrinsic versus extrinsic variability of analogue sand-box experiments – Insights from statistical analysis of repeated accretionary sand wedge experiments. Journal of Structural Geology, 75, 80–100. https://doi.org/10.1016/j.jsg.2015.03.008

10.1016/j.jsg.2015.03.008

Cites

Schulze, D. (2003). Time‐ and Velocity‐Dependent Properties of Powders Effecting Slip‐Stick Oscillations. Chemical Engineering & Technology, 26(10), 1047–1051. Portico. https://doi.org/10.1002/ceat.200303112

10.1002/ceat.200303112

Cites

Cites


Contact

Rosenau, Matthias

rosen@gfz-potsdam.de

GFZ German Research Centre for Geosciences, Potsdam, Germany


Citiation

Román-Berdiel, T., Casas, A. M., Pueyo, E. L., Peiro Chamarro, A., Soto, R., Pohlenz, A., Warsitzka, M., & Rosenau, M. (2019). Ring shear test data of quartz sand and colored quartz sand used for analogue modelling in the Laboratorio de modelización analógica, Universidad de Zaragoza, Spain (EPOS TNA call 2017). [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2019.025