Supplement to: Rheological benchmark of silicone oils used for analog modeling of short- and long-term lithospheric deformation
Cite as:
Rudolf, Michael; Boutelier, David; Rosenau, Matthias; Schreurs, Guido; Oncken, Onno (2016): Supplement to: Rheological benchmark of silicone oils used for analog modeling of short- and long-term lithospheric deformation. GFZ Data Services. https://doi.org/10.5880/GFZ.4.1.2016.001
Status
I N R E V I E W : Rudolf, Michael; Boutelier, David; Rosenau, Matthias; Schreurs, Guido; Oncken, Onno (2016): Supplement to: Rheological benchmark of silicone oils used for analog modeling of short- and long-term lithospheric deformation. GFZ Data Services. https://doi.org/10.5880/GFZ.4.1.2016.001
Abstract
The datasets that are presented here have been obtained to provide a rheological benchmark of silicones used in various analog modeling laboratories. The data contains rheological measurements of several polydimethylsiloxanes (PDMS) and filled silicone oils. The samples of eight different silicone oils originate from seven laboratories. Each sample was analyzed using rotational controlled shear rate tests (CSR), temperature sweep test, and dynamical oscillation tests (amplitude and frequency sweeps). Detailed information on the analysis and interpretation of the data is found in Rudolf, et al. (2016).
The data is provided as comma-separated files in *.csv format. Each file contains multiple measurements, each starting with own data series information that is followed by the actual measurement in the form of a table including the individual units of measure. Furthermore the results from ReSpect (Takeh & Shanbhag, 2013) for the discrete Maxwell relaxation spectra are provided. All files can be opened using a text-editor, MS Excel, or equivalent software.
More information about the datasets is available in the file Explanations_Rudolf-et-al-2016.pdf, an overview on the available files in the List_of_Files_Rudolf-et-al-2016 (in .pdf and .xlsx format). All information and overview files are also included in Rudolf-et-al-2016_datasets.zip.
Authors
Rudolf, Michael;GFZ German Research Centre for Geosciences, Potsdam, Germany
Boutelier, David;School of Environmental and Life Sciences, University of Newcastle, Australia
Rosenau, Matthias;GFZ German Research Centre for Geosciences, Potsdam, Germany
Schreurs, Guido;Institute of Geological Sciences, University of Bern, Switzerland
Oncken, Onno;GFZ German Research Centre for Geosciences, Potsdam, Germany
Contact
Rudolf, Michael
(PhD-Student)
; GFZ German Research Centre for Geosciences, Potsdam, Germany; ➦
Rosenau, Matthias; GFZ German Research Centre for Geosciences, Potsdam, Germany;
Contributors
Ritter, Malte; Leever, Karen; Bedford, Jonathan; GFZ German Research Center for Geosciences; Federal University of Ouro Preto, Brazil; Royal Holloway, University of London, UK; University Bern, Switzerland; University Lille, France; University of Toronto, Canada; University Parma, Italy; HelTec - Helmholtz Laboratory for Tectonic Modelling (GFZ Potsdam, Germany); Tectonic Modelling Laboratory at the Institute for Geological Sciences (TecLab Bern, Switzerland); SFB-1114, Scaling Cascades in Complex Systems
Keywords
silicone polymer, Maxwell model, Rheology, viscoelasticity, PDMS, analogue materials, analog models, benchmark, Geomod, experiment, properties of materials, geological process, material science, EPOS, multi-scale laboratories, analogue models of geologic processes, property data of analogue modelling materials, Rheometer, Silicon, Rheometer, Silicon
affiliation (affiliationIdentifier=0000-0002-5077-5221 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
affiliation (affiliationIdentifier=0000-0002-5077-5221 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
affiliation (affiliationIdentifier=0000-0002-5077-5221 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
affiliation (affiliationIdentifier=0000-0002-8954-4367 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
contributor (contributorType=Sponsor)
contributorName: GFZ German Research Center for Geosciences
contributor (contributorType=Other)
contributorName: Federal University of Ouro Preto, Brazil
contributor (contributorType=Other)
contributorName: Royal Holloway, University of London, UK
affiliation (affiliationIdentifier=9ba34c109b827b177aab36e0266b1643 affiliationIdentifierScheme=labid): GFZ German Research Centre for Geosciences, Potsdam, Germany
contributor (contributorType=HostingInstitution)
contributorName: Tectonic Modelling Laboratory at the Institute for Geological Sciences (TecLab Bern, Switzerland)
CharacterString: The datasets that are presented here have been obtained to provide a rheological benchmark of silicones used in various analog modeling laboratories. The data contains rheological measurements of several polydimethylsiloxanes (PDMS) and filled silicone oils. The samples of eight different silicone oils originate from seven laboratories. Each sample was analyzed using rotational controlled shear rate tests (CSR), temperature sweep test, and dynamical oscillation tests (amplitude and frequency sweeps). Detailed information on the analysis and interpretation of the data is found in Rudolf, et al. (2016).
The data is provided as comma-separated files in *.csv format. Each file contains multiple measurements, each starting with own data series information that is followed by the actual measurement in the form of a table including the individual units of measure. Furthermore the results from ReSpect (Takeh & Shanbhag, 2013) for the discrete Maxwell relaxation spectra are provided. All files can be opened using a text-editor, MS Excel, or equivalent software.
More information about the datasets is available in the file Explanations_Rudolf-et-al-2016.pdf, an overview on the available files in the List_of_Files_Rudolf-et-al-2016 (in .pdf and .xlsx format). All information and overview files are also included in Rudolf-et-al-2016_datasets.zip.
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