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Data Publication

Rheology of PDMS-corundum sand mixtures from the Tectonic Modelling Lab of the University of Bern (CH)

Zwaan, Frank | Schreurs, Guido | Ritter, Malte | Santimano, Tasca | Rosenau, Matthias

GFZ Data Services

(2018)

This dataset provides rheometric data of silicone (Polydimethylsiloxane, PDMS SGM36)-corundum sand mixtures used for analogue modelling in Zwaan et al. (2016, 2017), Zwaan and Schreurs (2017) and in the Tectonic Modelling Lab of the Institute of Geological Sciences at the University of Bern (CH). The PDMS is produced by Dow Corning and its characteristics have been described by e.g. Rudolf et al. (2016a,b). The corundum sand (Normalkorund Braun 95.5% F120 by Carlo Bernasconi AG: https://www.carloag.ch/shop/catalog/product/view/id/643), has a grainsize of 0.088-0.125 mm and a specific density of 3.96 g cm^-3. Further rheological characteristics are described by Panien et al. (2006). The density of the tested materials ranges between 1 (pure PDMS) and 1.6 g cm^-3 (increasing corundum sand content in mixture). The material samples have been analysed in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at GFZ German Research Centre for Geosciences in Potsdam using an Anton Paar Physica MCR 301 rheometer in a plate-plate configuration at room temperature. Rotational (controlled shear rate) tests with shear rates varying from 10^-4 to 10^-1 s^-1 were performed. According to our rheometric analysis, the material is quasi Newtonian at strain rates below 10^-3*s^-1 and weakly shear rate thinning above. Viscosity and stress exponent increase systematically with density from ~4*10^4 to ~1*10^5 Pa*s and from 1.06 to 1.10, respectively. A first application of the materials tested can be found in Zwaan et al. (2016). Detailed information about the data, methodology and a list of files and formats is given in the "data description" and "list of files" that are included in the zip folder and also available via the DOI landing page.

Keywords


Originally assigned keywords
analogue models of geologic processes
EPOS
Multiscale Laboratories
property data of analogue modelling materials
software tools
TECTONICS
CALIBRATIONVALIDATION
continentalcrustal setting
ductile flow
SiliconSilly puttyPDMS
Corundum Sand
Rheometer
Viscosity
Density

Corresponding MSL vocabulary keywords
tectonic plate boundary
ductile deformation
corundum sand
rheometer
rheometer
viscosity
viscosity

MSL enriched keywords
tectonic plate boundary
Inferred deformation behavior
deformation behaviour
ductile deformation
analogue modelling material
granular modelling material
natural granular material
corundum sand
Apparatus
fluid transport testing
fluid rheology testing
rheometer
Apparatus
characterization of modelling material
rheology testing
rheometer
Measured property
viscosity
Measured property
viscosity
unconsolidated sediment
clastic sediment
sand
viscous modelling material
synthetic viscous material
silicone
mechanical strength
plastic flow stress
plastic flow law stress exponent
strain
analogue modelling
mechanical strength
plastic flow strength
plastic flow law stress exponent
strain

MSL original sub domains

analogue modelling of geologic processes

MSL enriched sub domains i

analogue modelling of geologic processes
rock and melt physics


Source publisher

GFZ Data Services


DOI

10.5880/fidgeo.2018.023


Authors

Zwaan, Frank

0000-0001-8226-2132

Institut für Geologie, Universität Bern, Switzerland

Schreurs, Guido

0000-0003-1212-4978

Institut für Geologie, Universität Bern, Switzerland

Ritter, Malte

0000-0003-1212-4978

GFZ German Research Centre for Geosciences, Potsdam, Germany

Santimano, Tasca

0000-0002-8080-9154

GFZ German Research Centre for Geosciences, Potsdam, Germany

Rosenau, Matthias

0000-0003-1134-5381

GFZ German Research Centre for Geosciences, Potsdam, Germany


References

Zwaan, F., Schreurs, G., Naliboff, J., & Buiter, S. J. H. (2016). Insights into the effects of oblique extension on continental rift interaction from 3D analogue and numerical models. Tectonophysics, 693, 239–260. https://doi.org/10.1016/j.tecto.2016.02.036

10.1016/j.tecto.2016.02.036

IsSupplementTo

Zwaan, F., & Schreurs, G. (2017). How oblique extension and structural inheritance influence rift segment interaction: Insights from 4D analog models. Interpretation, 5(1), SD119–SD138. https://doi.org/10.1190/int-2016-0063.1

10.1190/INT-2016-0063.1

IsSupplementTo

Zwaan, F., Schreurs, G., & Adam, J. (2018). Effects of sedimentation on rift segment evolution and rift interaction in orthogonal and oblique extensional settings: Insights from analogue models analysed with 4D X-ray computed tomography and digital volume correlation techniques. Global and Planetary Change, 171, 110–133. https://doi.org/10.1016/j.gloplacha.2017.11.002

10.1016/j.gloplacha.2017.11.002

IsSupplementTo

References

Panien, M., Schreurs, G., & Pfiffner, A. (2006). Mechanical behaviour of granular materials used in analogue modelling: insights from grain characterisation, ring-shear tests and analogue experiments. Journal of Structural Geology, 28(9), 1710–1724. https://doi.org/10.1016/j.jsg.2006.05.004

10.1016/j.jsg.2006.05.004

References

Rudolf, M., Boutelier, D., Rosenau, M., Schreurs, G., & Oncken, O. (2016). Rheological benchmark of silicone oils used for analog modeling of short- and long-term lithospheric deformation. Tectonophysics, 684, 12–22. https://doi.org/10.1016/j.tecto.2015.11.028

10.1016/j.tecto.2015.11.028

References

Rudolf, M., Boutelier, D., Rosenau, M., Schreurs, G., &amp; Oncken, O. (2016). <i>Supplement to: Rheological benchmark of silicone oils used for analog modeling of short- and long-term lithospheric deformation</i> [Data set]. GFZ Data Services. https://doi.org/10.5880/GFZ.4.1.2016.001

10.5880/GFZ.4.1.2016.001

References


Contact

Rosenau, Matthias

rosen@gfz-potsdam.de

GFZ German Research Centre for Geosciences, Potsdam, Germany


Citiation

Zwaan, F., Schreurs, G., Ritter, M., Santimano, T., & Rosenau, M. (2018). Rheology of PDMS-corundum sand mixtures from the Tectonic Modelling Lab of the University of Bern (CH) [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2018.023