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

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