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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RootWaterUptake(Universität Stuttgart)
Jan 23, 2020
Benchmark C1.2 - Numerical results reference solution
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,...
C-X1(Universität Stuttgart)
Feb 13, 2020
Emmert2020a(Universität Stuttgart)
Feb 13, 2020C-X1
Data for Emmert2020a publication: Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study
Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets
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 mater...
micro-XRCT data set of open-pored asphalt concrete
Mar 12, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research
Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of open-pored asphalt concrete", https://doi.org/10.18419/darus-639, DaRUS, V1
micro-XRCT data set (projection and reconstructed images) resulting from a region of interest scan (diameter 48.41 mm, height 35.46 mm) located in the center of an open-pored asphalt concrete core with 100 mm diameter and 50 mm length.
B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation(Universität Stuttgart)
B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation logo
Apr 22, 2020
Fractured porous media are geometrically very complex. There are many competing model concepts to represent their structure in flow simulations; these models differ drastically in their level of geo¬metric detail and in their level of simplification and abstraction. Systematicall...
EICPModelCalibration(Universität Stuttgart)
Apr 24, 2020
Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC
May 19, 2020 - B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation
Reuschen, Sebastian; Xu, Teng; Nowak, Wolfgang, 2020, "Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC", https://doi.org/10.18419/darus-741, DaRUS, V1
This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak. Always cite the paper together with this dataset be...
EICP Model Calibration
Jun 16, 2020 - EICPModelCalibration
Hommel, Johannes, 2020, "EICP Model Calibration", https://doi.org/10.18419/darus-796, DaRUS, V1
EICP Model Calibration. Content: 1 excel spreadsheet with the experimental data 4 different model calibration sets in each .tar file: SorptionCoefficientsOnlyFitted.tar for the case where only the sorption coefficients of urease are fitted. SorptionCoefficientsAndConcentrationsFi...
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