Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures

DOI

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 for both, the domains in the publication as well as user defined geometries.

Pseudo3D_Stokes: DuMuxsubmodule

Pseudo-3D-Stokes Module for Varying Apertures is a DuMux module developed at research institutions. DuMux is a simulation framework focusing on Finite Volume discretization methods, model coupling for multi-physics applications, and flow and transport applications in porous media. This module aims to assist researchers in planning, improving, or interpreting microfluidic experiments through numerical simulations based on the Stokes equations in an easy and intuitive way. It uses .pgm files as input to create numerical grids. These .pgm files should include 8 bit grayscale values referring to the relative height of a microfluidic cell, which can be created from microscopy images of a microfluidic experiment using suitable image processing procedures. Based on the .pgm files, the python module localdrag (see below) should be used to create the suitable drag prefactor fields lambda1 and lambda2. For further details, refer to our publication (see below). Please check out the README for information on requirements, building DuMux including its submodule and examples.

localdrag: python preprocessing module

localdrag is a python module to create geometry informed pre-factor maps for pseudo-3D Stokes simulations with DuMux based on local pore morphology. localdrag is used as a preprocessing tool for the DuMux module pseud3D_stokes and is delivered directly when the pseudo3D_stokes is cloned with the recurse-submodules option (recommended, see README).

Related datasets and repositories:

POREMAPS, 3D Stokes solver used to create reference solutions: git repository, DaRUS dataset

DuMux:
Website, git repository

Pseudo3D_Stokes:
git repository

Image dataset of micromodel with precipitation: DaRUS dataset, research paper

localdrag python module for preprocessing and data handling: git repository

Input data and results for all domains in Krach et al. (2024): DaRUS dataset

Use persistent identifiers from Software Heritage (

) to cite individual files or even lines of the source code of https://git.iws.uni-stuttgart.de/krachdd/localdrag.git. Use persistent identifiers from Software Heritage (

) to cite individual files or even lines of the source code of https://git.iws.uni-stuttgart.de/krachdd/pseudo3D_stokes.git.

Identifier
DOI https://doi.org/10.18419/darus-4313
Related Identifier IsCitedBy https://doi.org/10.1016/j.advwatres.2024.104860
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4313
Provenance
Creator Krach, David ORCID logo; Weinhardt, Felix ORCID logo; Wang, Mingfeng ORCID logo; Schneider, Martin ORCID logo; Class, Holger ORCID logo; Steeb, Holger ORCID logo
Publisher DaRUS
Contributor David Krach; MIB
Publication Year 2024
Funding Reference DFG EXC 2075 - 390740016 ; DFG 327154368 - SFB 1313
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact David Krach (Universität Stuttgart); MIB (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/gzip
Size 112802; 2445534
Version 2.0
Discipline Construction Engineering and Architecture; Earth and Environmental Science; Engineering; Engineering Sciences; Environmental Research; Fluid Mechanics; Geosciences; Heat Energy Technology, Thermal Machines, Fluid Mechanics; Mechanical and industrial Engineering; Mechanics; Mechanics and Constructive Mechanical Engineering; Natural Sciences; Thermal Engineering/Process Engineering