SFB 1313 is an interdisciplinary Collaborative Research Centre of the University of Stuttgart, consisting of four major project areas (A-D), divided in 17 individual research projects. It is funded by the German Research Foundation (DFG) and affiliated to the Cluster of Excellence "Data-integrated Simulation Science (SimTech)".

Interfaces have a great impact on multi-field processes (flow, transport and deformation) in porous-media systems. SFB 1313 aims to research these interfaces and to gain a fundamental understanding how they affect multi-field processes. An important step is therefore to quantify how the dynamics of fluid-fluid and fluid-solid interfaces in porous-media systems are affected by pore geometry, heterogeneity and fractures. Furthermore, developing experimental knowledge as well as mathematical and computational models will support SFB 1313‘s research.

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2,741 to 2,750 of 2,757 Results
Mar 5, 2020 - Publication: Digital rock physics and laboratory considerations on a high-porosity volcanic rock
Schepp, Laura L.; Ahrens, Benedikt; Balcewicz, Martin; Duda, Mandy; Nehler, Mathias; Osorno, Maria; Uribe, David; Steeb, Holger; Nigon, Benoit; Stöckhert, Ferdinand; Swanson, Donald A.; Siegert, Mirko; Gurris, Marcel; Saenger, Erik H.; Ruf, Matthias, 2020, "Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets", https://doi.org/10.18419/DARUS-680, DaRUS, V1
Reticulite (high-porosity volcanic rock) is a pyroclastic rock formed during intense Hawaiian fountaining events. The honeycombed network of bubbles is supported by glassy threads and forms a structure with a porosity of more than 80 %. It is an end-member for high-porosity materials with a high stiffness and brittleness. For this specific material...
RAR Archive - 6.4 GB - MD5: b0e2a7f4f84a8c102ba9050b73ebb03e
micro-XRCT data set in *.rek and *.tif file format of a dry cubic reticulite sample with about 10 mm side length. 1520 x 1520 x 1480 voxels by a uniform voxel size of 16.01 µm.
RAR Archive - 6.7 GB - MD5: 52d6c4590ed96ed3832f1d0abe8edde2
micro-XRCT data set in *.rek and *.tif file format of a dry cubic reticulite sample with about 5 mm side length. 1520 x 1520 x 1522 voxels by a uniform voxel size of 4.49 µm.
RAR Archive - 7.1 GB - MD5: 2c40fe472f95f8b2310f11aeb4063e55
micro-XRCT data set in *.rek and *.tif file format of a cubic reticulite sample with about 12 mm side length saturated with 1 ml distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.
RAR Archive - 7.1 GB - MD5: 3d2845a50daec7aa067f5b1056de106b
micro-XRCT data set in *.rek and *.tif file format of a cubic reticulite sample with about 12 mm side length saturated with 500 µl distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.
RAR Archive - 7.0 GB - MD5: 78855cfc44d4ab07ef4fa49436c70823
micro-XRCT data set in *.rek and *.tif file format of a cubic reticulite sample with about 12 mm side length saturated with 750 µl distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.
RAR Archive - 2.5 MB - MD5: f0e350647fa4fe27f8d37b0e9a0935ba
Binarized subsamples of 400 x 400 x 400 voxels of "Reticulite-01_AxMF01" and "Reticulite_03_AxMF01" data sets in *.raw file format. A MATLAB script "ReadCTDataToMATLAB_simple.m" to read the data is attached.
Jan 28, 2020 - RootWaterUptake
Koch, Timo, 2020, "Benchmark C1.2 - Numerical results reference solution", https://doi.org/10.18419/DARUS-471, DaRUS, V1
Root water uptake simulation with a numerical scheme where the root-soil surface is explicitly resolved by the computational grid. The roots are a one-dimensional network grid embedded in a 3D soil domain. This dataset contains the grid files for root and soil. 8-day-old lupine, segmented from MRI measurements (courtesy of Magdalena Landl, FZ Jülic...
Gzip Archive - 21.2 MB - MD5: b0288e79fbbad832076c55e5b7e12a44
DataVisualisation
Archive with data to reproduce a 3d render of the water saturation results from the paper
Gzip Archive - 111.2 KB - MD5: c28705d4d482d29a8a1d007892ce45e2
DataVisualisation
Archive with data and Python script to reproduce a plot of the root water potential over depth
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