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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41 to 50 of 196 Results
BayesValidRox 2.0.0
Mar 4, 2025 - D03: Development and realisation of validation benchmarks
Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda; Lacheim, Alina, 2025, "BayesValidRox 2.0.0", https://doi.org/10.18419/DARUS-4752, DaRUS, V1
BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. Release 2.0.0 improves the modularity and uniformity of the package and introduces template classes for surrogate models and methods for generating posterior samples.(2025-02-05)
B01: Modelling of hydromechanical fracturing across scales(Universität Stuttgart)
B01: Modelling of hydromechanical fracturing across scales logo
Jan 30, 2025
Hydraulically induced fractures usually initiate at very small (microscopic) length scales and then merge to larger (macroscopic) crack discontinuities. The goal of the project is to resolve this inherent characteristic through the development of computational scale-bridging techniques for hydraulic fracturing of porous media. The project is divide...
Mixed variational formulation and finite-element implementation of second-order poro-elasticity: Datasets
Jan 30, 2025 - SFB1313: Project Area B01
Khurshid, Hamza; Polukhov, Elten; Keip, Marc-André, 2025, "Mixed variational formulation and finite-element implementation of second-order poro-elasticity: Datasets", https://doi.org/10.18419/DARUS-4485, DaRUS, V1
The datasets provided here are associated with our publication "Mixed variational formulation and finite-element implementation of second-order poro-elasticity". The main idea of the work is to develop a working model for second gradient poro-elasticity. This includes a mixed-variational formulation and finite-element formulation. The results are g...
Eigenvalue problem solver for evaporation-driven density instabilities in partially saturated porous media
Jan 17, 2025 - Evaporation-driven density instabilities in unsaturated porous media
Bringedal, Carina, 2025, "Eigenvalue problem solver for evaporation-driven density instabilities in partially saturated porous media", https://doi.org/10.18419/DARUS-4711, DaRUS, V1
This dataset contains the source code for the eigenvalue problem solver presented in Bringedal et al. "Impact of saturation on evaporation driven density instabilities in porous media: mathematical and numerical analysis", Transport in Porous Media, https://doi.org/10.1007/s11242-025-02207-y The application allows to model the estimated onset times...
Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures
Dec 20, 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, "Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures", https://doi.org/10.18419/DARUS-4313, DaRUS, V2
Content: This data set includes snapshots of the code used to compute the benchmarks and applications in Krach et al.(2024). All software tools provided enable the user to perform pseudo-3D Stokes simulations with a geometry-informed drag term using DuMux and to determine permeability, volumetric flux as well as local pressure and velocity fields f...
Utrecht University(Universiteit Utrecht)
Dec 17, 2024A02: Advanced modelling concepts for coupling free flow with porous-media flow
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)
Evaporation-driven density instabilities in unsaturated porous media(Universität Stuttgart)
Dec 12, 2024C-X5
D03: Development and realisation of validation benchmarks(Universität Stuttgart)
D03: Development and realisation of validation benchmarks logo
Dec 10, 2024
The goal of this project is to formulate and conduct benchmarks which assist in the validation of several computational models developed within the proposed CRC. Here, the main challenge arises from the possibly large uncertainties that are present in the experimental data as well as in the simulation results. A so-called validation metric which co...
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...
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