Microstructure-based prediction of hydrodynamic forces in stationary particle assemblies

#Data linked to the manuscript: Microstructure-based prediction of hydrodynamic forces in stationary particle assemblies #Corresponding author: [e-mail] #Acknowleddgements This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 422037413 - TRR 287. This funding is gratefully acknowledged. #Files - Minkowski tensors and Lagrangian forces computed for all simulations stored in the .csv files - Python script to read Minkowski tensors and Lagrangian forces stored in the .csv files - One flow configuration results with hdf fields files at mean flow Reynolds number 100 and solid volume fraction 0.5. #SimulationResult Note to open the simulation results: The Eulerian fields and Lagrangian particles information are stored in HDF5 files. The relevant fileds are: #Eulerian: - Velocity vector - Pressure - AMR Level - Other information relevant for the coupling between the IBM particles and the fluid #Lagrangian: - Particles coordinates - Particles diameter - Particles hydrodynamic force components - Particles torque components - Particles velocity components - Particles rotational velocity components A .xmf file is provided to read the simulation results in paraview. Only the initial state and the converged state of the simulation are provided due to storage limits.