Results for pseudo-3D Stokes simulations using a vertically averaged drag term

Version 1.0
Krach, David; Weinhardt, Felix; Class, Holger; Steeb, Holger; Schneider, Martin, 2026, "Results for pseudo-3D Stokes simulations using a vertically averaged drag term", https://doi.org/10.18419/DARUS-5626, DaRUS, V1
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Description
Content:
This data set includes all the necessary input data to fully replicate the benchmarks and applications in Krach et al.(2026). In addition, the results for all solvers are provided as raw simulation output as well as in condense form.


Complete datasets:
01_SINGLE_PRECIPITATE, 02_SEGMENT1, 03_SEGMENT2, 04_SEGMENT3, 05_WHOLE_DOMAIN

Each data set consists of all relevant input data DuMux as well as the results. A README contains relevant information such as voxelsize, geometry size and boundary conditions. Pseudo-3D input data and results comprise different folders, each containing a different drag formulation. Input data for DuMux may be generated from the 3D input data using the localdrag python module. See the README or the source code for detailed information. For further details on the input files, please refer to the software documentation of the corresponding DuMux module Pseudo-3D-Stokes Module. For input, evaluation or modification of the simulation results, I/O routines, interpolation algorithms and analysis tools are provided in the localdrag python module.


Related datasets and repositories:
Subject Computer and Information Science; Earth and Environmental Sciences; Engineering
Keyword Porous Medium, Porous Media, Research Software, Permeability, Microfluidics, Biomineralization
Related Publication Cites: Krach, D., Weinhardt, F., Wang, M., Schneider, M., Class, H., Steeb, H. (2025). A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures. Advances in Water Resources , 195, 104860.doi: 10.1016/j.advwatres.2024.104860
Data Generation Simulation; Analysis; Experiment
License/Data Use Agreement

CC BY 4.0

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01_Single_Precipitate.tar.gz
Gzip Archive - 104.9 MB
Published Mar 24, 2026
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MD5: e8ab24f37c42b6ab89e0d80ebefb5402
Input data and results of POREMAPS and DUMUX for the Single Precipitate domain.
02_Segment_1.tar.gz
Gzip Archive - 4.4 GB
Published Mar 24, 2026
2 Downloads
MD5: 3a83ce7527449662da0d45dde58533be
Input data and results of POREMAPS and DUMUX for Segment 1.
03_Segment_2.tar.gz
Gzip Archive - 4.6 GB
Published Mar 24, 2026
2 Downloads
MD5: 177d4361ddd7b82707e937d59fa8b009
Input data and results of POREMAPS and DUMUX for Segment 2.
04_Segment_3.tar.gz
Gzip Archive - 3.5 GB
Published Mar 24, 2026
2 Downloads
MD5: 14cfd590e864602a752bd96a4bb21bf9
Input data and results of POREMAPS and DUMUX for Segment 3.
05_Whole_Domain.tar.gz
Gzip Archive - 1.1 GB
Published Mar 24, 2026
2 Downloads
MD5: de4b66aff41adb25284eae4cb1d35fdd
Input data and results of POREMAPS and DUMUX for the Whole domain.
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Curation Status History
StatusDateAssigner
2026-03-24 07:06:48Hamza Oukili
In Review by FoKUS2026-03-24 06:49:18Dorothea Iglezakis
Waiting for Feedback from Author2026-03-17 14:01:15Dorothea Iglezakis
In Review by FoKUS2026-03-13 14:51:34Dorothea Iglezakis
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