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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2,881 to 2,890 of 2,910 Results
reconstructed.rar
Jun 22, 2020 - micro-XRCT data set of Carrara marble with artificially created crack network: slow cooling down from 600°C
RAR Archive - 21.5 GB - MD5: fefe74f1589312584a3ff2772729e491
Reconstructed micro-XRCT data set in 16 bit *.tif file format. 2940x2940x2139 voxels with the uniform voxel size of 1.9983 µm.
ConcentrationsAndCalcite.xlsx
Jun 16, 2020 - EICP Model Calibration
MS Excel Spreadsheet - 12.2 KB - MD5: 8ac6bb9b272555e1813c27c7f9eb4f73
Experiment
SorptionCoefficientsAndConcentrationsFitted.tar
Jun 16, 2020 - EICP Model Calibration
TAR Archive - 800.1 KB - MD5: 90b379d0b9814d744591028dee73ea79
Simulation
SorptionCoefficientsAndKureaseFitted.tar
Jun 16, 2020 - EICP Model Calibration
TAR Archive - 795.8 KB - MD5: 71e1fc0cda6aecbb6f5c4909911d0aa6
Simulation
SorptionCoefficientsAndPKAFitted.tar
Jun 16, 2020 - EICP Model Calibration
TAR Archive - 796.2 KB - MD5: 3b9a710a47f130f00f948548ff2e7805
Simulation
SorptionCoefficientsOnlyFitted.tar
Jun 16, 2020 - EICP Model Calibration
TAR Archive - 794.3 KB - MD5: 90eda7814a3a2e0f4386ac36686a904f
Simulation
code.tar.gz
May 19, 2020 - Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC
Gzip Archive - 143.7 KB - MD5: 434750ea8b39b02bc74c456d12660e5c
data.tar.gz
May 19, 2020 - Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC
Gzip Archive - 580.8 MB - MD5: 3a5ff7270f32fae9c2890e2c94837ec0
EICPModelCalibration(Universität Stuttgart)
Apr 24, 2020
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. Systematically choosing between these vastly different models, calibrating chosen m...
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