Porosity and permeability are two major hydraulic properties that govern flow through porous media. Different kinds of processes can lead to alterations of the pore space which eventually change the hydraulic properties. This project focuses primarily on fluid-solid interfaces that are prone to change as a result of microbial activity. The alterations need to be measured experimentally and interpreted on the scales of interest by means of numerical simulations. It is also required to improve the efficiency of corresponding complex numerical simulation methods.
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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...
Gzip Archive - 110.2 KB - MD5: 9184f049d4cee0af1e10ea48529bf0f3
localdrag python module
Gzip Archive - 2.3 MB - MD5: 04abee75c9fb1dca64cdaa9b68cf28f8
Pseudo3D_Stokes DuMux submodule
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...
Gzip Archive - 93.8 MB - MD5: f35d5d39cff97cf36e09f9b22886bca5
Input data and results of POREMAPS and DUMUX for the Cylinder in channel domain.
Gzip Archive - 91.2 MB - MD5: dea4f87121abc8de16a4bc24a1d84d40
Input data and results of POREMAPS and DUMUX for the Single Precipitate domain.
Gzip Archive - 3.3 GB - MD5: 37a1ff71830aa042ab364b099c2b9f5d
Input data and results of POREMAPS and DUMUX for Segment 1.
Gzip Archive - 3.5 GB - MD5: b089128223f7de5f4b92c9a965da446f
Input data and results of POREMAPS and DUMUX for the Segment 2.
Gzip Archive - 2.3 GB - MD5: 2ab48092170a214fbe40291be774063c
Input data and results of POREMAPS and DUMUX for the Segment 3.
Gzip Archive - 664.1 KB - MD5: 57754fe1779bd4e7e18b636292d15f90
Condensed results/permeabilities for all domains including ploting scripts to replicate figures in Krach et al.
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