18 documents found in 621ms
# 1
Rosenau, Matthias • Horenko, Illia • Corbi, Fabio • Rudolf, Michael • Kornhuber, Ralf • (et. al.)
Abstract: This data set provides data from subduction zone earthquake experiments and analysis described in Rosenau et al. (2019). In the experiments analogue seismotectonic scale models of subduction zones characterized by two seismogenic asperities are used to study the interaction of asperities over multiple seismic cycles by means of static (Coulomb failure) stress transfer. Various asperity geometries (lateral/along-strike of the subduction zone distance and vertical/across-strike of the subduction zone offset) are tested on their effect on recurrence pattern of simulated great (M8+) earthquakes. The results demonstrate the role of stress coupling in the synchronization of asperities leading to multi-asperity M9+ events in nature. The data set contains time series of experimental surface velocities from which analogue earthquakes are detected and classified into synchronized events and solo events. The latter are subcategorized into main events and aftershocks and into normal and thrust events. An analogue earthquake catalogue lists all categorized events of the 12 experiments used for statistical analysis. Moreover, results from elastic dislocation modelling aimed ate quantifying the stress coupling between the asperities for the various geometries are summarized. Basic statistics of classified events (e.g. percentage of categorized events, coefficient of variation in size and recurrence time etc.) are documented. Matlab scripts are provided to visualize the data as in the paper.
# 2
Corbi, Fabio • Sandri, Laura • Bedford, Jonathan • Funiciello, Francesca • Brizzi, Silvia • (et. al.)
Abstract: This data set includes the results of digital image correlation of one experiment on subduction megathrust earthquakes with interacting asperities performed at the Laboratory of Experimental Tectonics (LET) Univ. Roma Tre in the framework of AspSync, the Marie Curie project (grant agreement 658034) lead by F. Corbi in 2016-2017. Detailed descriptions of the experiments and monitoring techniques can be found in Corbi et al. (2017 and 2019) to which this data set is supplementary material. We here provide Digital Image Correlation (DIC) data relative to a 7 min long interval during which the experiment 
produces 40 seismic cycles with average duration of about 10.5 s (see Figure S1 in Corbi et al., 2019). The DIC analysis yields quantitative about the velocity field characterizing two consecutive frames, measured in this case at the model surface. For a detailed description of the experimental procedure, set-up and materials used, please refer to the article of Corbi et al. (2017) paragraph 2. This data set has been used for: a) studying the correlation between apparent slip-deficit maps and earthquake slip pattern (see Corbi et al., 2019; paragraph 4); and b) as input for the Machine Learning investigation (see Corbi et al., 2019; paragraph 5). Further technical information about the methods, data products and matlab scripts is proviced in the data description file. The list of files explains the file and folder structure of the data set.
# 3
Rosenau, Matthias • Pohlenz, Andre • Kemnitz, Helga • Warsitzka, Michael
Abstract: This dataset provides friction data from ring-shear tests (RST) for a quartz sand (“G12”). This material is used in various types of analogue experiments in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam for simulating brittle rocks in the upper crust. The material has been characterized by means of internal friction coefficients µ and cohesions C. According to our analysis the material shows a Mohr-Coulomb behaviour characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of µP = 0.69, µD = 0.55 and µR = 0.62, respectively. Cohesions C are in the order of 50 – 110 Pa. The material shows a minor rate-weakening of <1% per ten-fold change in shear velocity. Further information about materical characteristics, measurement procedures, sample preparation, the RST (Ring-shear test) and VST (Velocity stepping test) procedure, as well as the analysed method is proviced in the data description file. The list of files explains the file and folder structure of the data set.
# 4
Rosenau, Matthias • Pohlenz, Andre • Kemnitz, Helga • Warsitzka, Michael
Abstract: This dataset provides friction data from ring-shear tests (RST) for a quartz sand (type “G23”). This material is used in various types of analogue experiments in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam for simulating brittle rocks in the upper crust (e,g. Kenkmann et al., 2007; Contardo et al., 2011; Reiter et al., 2011;Warsitzka et al., 2013; Santimano,et al., 2015; Warsitzka et al., 2015; Ritter et al., 2016; 2018 a,b). The material has been characterized by means of internal friction coefficients µ and cohesions C. According to our analysis the material shows a Mohr-Coulomb behaviour characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of µP = 0.73, µD = 0.57 and µR = 0.65, respectively. Cohesions C are in the order of 10 – 120 Pa. The material shows a minor rate-weakening of <1% per ten-fold change in shear velocity v. Further information about materical characteristics, measurement procedures, sample preparation, the RST (Ring-shear test) and VST (Velocity stepping test) procedure, as well as the analysed method is proviced in the data description file. The list of files explains the file and folder structure of the data set.
# 5
Reiter, Karsten • Kukowski, Nina • Ratschbacher, Lothar • Rosenau, Matthias
Abstract: This data publication includes animations and figures of eight scaled analogue models that are used to investigate the evolution of a curved mountain belt akin to the Pamir and Hindu Kush orogenic system and adjacent Tadjik basin. Crustal deformation is simulated by means of indentation of two basement blocks into a sedimentary sequence and the formation of a curved fold-and-thrust belt.The experimental set-up has two adjacent rigid indenters representing the basement blocks moving in parallel with a velocity difference (Figure 1). The slow indenter moves with a relative velocity ranging from 40 to 80% of that of the fast one. A layer of quartz sand in front of the indenters, 1 by 1 meter in size and 1.5 cm thick, represents the sedimentary basin infill. A basal detachment layer is made up of low-friction glass beads or viscous silicone oil representing weak shale or evaporates layers, respectively. The surface evolution by means of topography and strain distribution is derived from 3-D particle image velocimetry (PIV). This allows visualizing and analysing the development of the model surface during the complete model run at high spatio-temporal resolution. All details about the model set-up, modelling results and interpretation can be found in Reiter et al. (2011).The here provided additional material includes time-lapse movies showing the topographic evolution of the eight models. These visualizations are oblique views played back at 60-fold velocity for the “glass beads experiments” (gb40 to gb80) and 3600-fold velocity for the “silicone experiments” (si60, si-gb60).In addition to the experiment movies we provide a set of figures. The figures include surface views as well as cross-sections through the finite models highlighting the link between topography and internal structure of the simulated curved fold-and-thrust belts. Additionally, attribute maps of distinct morphometric measures (curvature, slope) and deformation parameters (uplift, horizontal translation) for the experiments with glass beads detachments are given. Finally, the movie “Experimenting.avi” shows in time-lapse the whole workflow of setting up, conducting and documenting an experiment, which originally required three days (for experiment si-gb60).An overview on the parameters used in the experimental series of the movie sequences is given in the explanatory file (Explanations_Reiter-et-al-2016.pdf). A full list of files is given in “list-of-files-Reiter-et-al-2016.pdf”.
# 6
Rudolf, Michael • Boutelier, David • Rosenau, Matthias • Schreurs, Guido • Oncken, Onno
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.
# 7
Willingshofer, Ernst • Sokoutis, Dimitrios • Beekman, Fred • Schönebeck, Jan-Michael • Warsitzka, Michael • (et. al.)
Abstract: This dataset provides friction data from ring-shear tests (RST) on feldspar sand and quartz sand, which are used to simulate brittle behaviour in crust- and lithosphere-scale analogue experiments at the Tectonic Laboratory (TecLab), Utrecht University (NL) (Willingshofer et al., 2005; Willingshofer & Sokoutis, 2009; Athmer et al., 2010; Luth et al., 2010; Fernández-Lozano et al., 2011; Leever et al., 2011; Sokoutis & Willingshofer, 2011; Fernández-Lozano et al., 2012; Luth et al., 2013; Munteanu et al., 2013; Willingshofer et al., 2013; Munteanu et al., 2014; Calignano et al., 2015a, b; Ortner et al., 2015; Gabrielsen et al., 2016; Calignano et al., 2017; van Gelder et al., 2017; Wang et al., 2017; Beniest et al., 2018 ). The materials 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 both materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the feldspar sand are µP = 0.68, µD = 0.55, and µR = 0.61, respectively. Friction coefficients of the quartz sand are µP = 0.63, µD = 0.48, and µR = 0.52, respectively. Cohesions of the feldspar sand and the quartz sand are in the order of few tens of Pa. A minor rate-weakening of 1% per ten-fold rate change is evident for the feldspar sand, whereas the quartz sand shows a significant rate weakening of ~5%. Further information about materical characteristics, measurement procedures, sample preparation, the RST (Ring-shear test) and VST (Velocity stepping test) procedure, as well as the analysed method is proviced in the data description file. The list of files explains the file and folder structure of the data set.
# 8
Zwaan, Frank • Schreurs, Guido • Gentzmann, Robert • Warsitzka, Michael • Rosenau, Matthias
Abstract: This dataset provides internal and basal (wall) friction data from ring-shear tests (RST) on a quartz sand material that has been used in tectonic experiments in Zwaan et al. (2016, 2017), Zwaan and Scheurs (2017) and in the Tectonic Modelling Lab of the University of Bern (CH) as an analogue for brittle layers in the crust or lithosphere. The material has been characterized by means of internal and basal 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 for the Tectonic Modelling Lab of the University of Bern (UB). According to our analysis the material behaves as a Mohr-Coulomb material characterized by a linear failure envelope. Internal peak, dynamic and reactivation friction coefficients are μP = 0.73, μD = 0.61, and μR = 0.66, respectively. Internal cohesions C are in the range of 10 to 70 Pa. Basal peak, dynamic and reactivation friction coefficients are μP = 0.41, μD = 0.35, and μR = 0.36, respectively, whereas basal cohesions C are in the range of 120 to 150 Pa. The rate dependency of the internal dynamic friction coefficient is insignificant (<1%).
# 9
Klinkmüller, Matthias • Schreurs, Guido • Rosenau, Matthias
Abstract: This dataset provides compaction data from axial testing on natural and artificial granular materials used for experimental simulation by the analogue geodynamic modelling community (21 sands and glass beads). The material samples have been collected community-wide and analysed at GFZ Potsdam in the framework of the GeoMod2008 conference benchmark initiative. The context of data collection, details of the material samples and measuring techniques as well as interpretation and discussion of results can be found in Klinkmüller et al. (2016) to which this dataset is supplement material.
The data presented here are derived by uniaxial, confined compression testing using the Axial Tester at GFZ Potsdam’s analogue laboratory for tectonic modelling . Each sample has been carefully prepared by the same person and measured consistently following the same protocol. Preparation included sieving at 250 ml/min from 30 cm height into the container (jar). Up to 2000 kPa of uniaxial compression has been applied in 50 cycles. Laboratory conditions were air conditioned during all the measurements (Temperature: 23°C, Humidity: 45%).The resulting stress curve data are presented at 20 Hz frequency and the Unit of N. From the stress curves the compaction data have been derived. These correspond to the normalized sample height (normalized to the initial height) of the sample at the beginning of each cycle and are characterized by an exponential decrease over the 50 cycles. From that the following compaction parameters are derived: total compaction (shortening after 50 cycles Ct=eps50), the compaction during the first cycle (eps1) as well as the compaction index (Ci = eps1/eps50). Compaction data are finally visualized in the compactionDataPlot file.Each material sample has a relation to three files: stress curve data (txt format, 50 files per sample), compaction data (in xls and txt format), compaction plot (pdf format), examples of which are shown below. An overview of all files of the data set is given in the table CompactionDataOverview.xls.
# 10
Klinkmüller, Matthias • Kemnitz, Helga • Schreurs, Guido • Rosenau, Matthias
Abstract: This dataset provides images from scanning electron microscope (SEM) photography of natural and artificial granular materials used for experimental simulation by the analogue geodynamic modelling community (21 sands and glass beads). The material samples have been collected community-wide and analysed at GFZ Potsdam in the framework of the GeoMod2008 conference benchmark initiative. The context of data collection, details of the material samples and measuring techniques as well as interpretation and discussion of results can be found in Klinkmüller et al. (2016) to which this dataset is supplement material.
The data presented here are derived by using the scanning electron microscope facility at GFZ Potsdam. The selected grains were mounted on aluminium stubs supplied with conductive carbon tabs and gold-palladium coated. The study was performed using a ZEISS DSM 692 (in 2008) and (in 2009) a ZEISS ULTRA 55 Plus Schottky-type field emission scanning electron microscope (FESEM) at acceleration voltages from 7 to 20 kV. In both cases, we used the secondary (SE) electron signals providing the best spatial resolution of the sample morphology.The resulting SEM images are presented. From each sample several magnifications are provided ranging from overview (50x-100x) to particle portraits (100x-500x) and, for glass beads, to surface landscapes (500x-10.000x).
An overview of all files of the data set is given in the table SEMDataOverview.
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