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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391 to 400 of 2,757 Results
install_kiemle2023b.py
Dec 19, 2024 - DuMuX code for modelling evaporation-driven density instabilities in unsaturated porous media
Python Source Code - 4.1 KB - MD5: e2d1cea10ee7b67729335ba0d3c03fa6
Installation script
kiemle2023b-main.tar.gz
Dec 19, 2024 - DuMuX code for modelling evaporation-driven density instabilities in unsaturated porous media
Gzip Archive - 99.6 KB - MD5: 06da7b6c13c74f3e6e7948cfa76d9012
Source code
README.md
Dec 19, 2024 - DuMuX code for modelling evaporation-driven density instabilities in unsaturated porous media
Markdown Text - 4.4 KB - MD5: b1684f4702f786078f0b539c75815351
Instructions to install and use the module
BayesValidRox 1.1.0
Dec 13, 2024 - D03: Development and realisation of validation benchmarks
Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda, 2024, "BayesValidRox 1.1.0", https://doi.org/10.18419/DARUS-4613, DaRUS, V1
Release 1.1.0 of BayesValidRox. BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. (2024-07-18)
bayesvalidrox-1.1.0.tar.gz
Dec 13, 2024 - BayesValidRox 1.1.0
Gzip Archive - 140.9 KB - MD5: 37c66a1cecb9867545a7dec06da1d711
Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures
Nov 19, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures", https://doi.org/10.18419/DARUS-4347, DaRUS, V1
Content: This data set includes all the necessary input data to fully replicate the benchmarks and applications in Krach et al.(2024). In addition, the results for all solvers are provided as raw simulation output as well as in condense form. Complete datasets: 01_CYLINDER, 02_SINGLE_PRECIPITATE, 03_SEGMENT1, 04_SEGMENT2, 05_SEGMENT3 Each data set...
01_CYLINDER_data.tar.gz
Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures
Gzip Archive - 93.8 MB - MD5: f35d5d39cff97cf36e09f9b22886bca5
Input data and results of POREMAPS and DUMUX for the Cylinder in channel domain.
02_SINGLE_PRECIPITATE_data.tar.gz
Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures
Gzip Archive - 91.2 MB - MD5: dea4f87121abc8de16a4bc24a1d84d40
Input data and results of POREMAPS and DUMUX for the Single Precipitate domain.
03_SEGMENT1_data.tar.gz
Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures
Gzip Archive - 3.3 GB - MD5: 37a1ff71830aa042ab364b099c2b9f5d
Input data and results of POREMAPS and DUMUX for Segment 1.
04_SEGMENT2_data.tar.gz
Nov 19, 2024 - Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures
Gzip Archive - 3.5 GB - MD5: b089128223f7de5f4b92c9a965da446f
Input data and results of POREMAPS and DUMUX for the Segment 2.
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