Microstructure-based prediction of hydrodynamic forces in stationary particle assemblies

#Data linked to the manuscript: <br> Microstructure-based prediction of hydrodynamic forces in stationary particle assemblies #Corresponding author:<br> [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<br> - Minkowski tensors and Lagrangian forces computed for all simulations stored in the .csv files<br> - Python script to read Minkowski tensors and Lagrangian forces stored in the .csv files<br> - 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.<br> The relevant fileds are:<br> #Eulerian:<br> - Velocity vector<br> - Pressure<br> - AMR Level<br> - Other information relevant for the coupling between the IBM particles and<br> the fluid<br> <br> #Lagrangian:<br> - Particles coordinates<br> - Particles diameter<br> - Particles hydrodynamic force components<br> - Particles torque components<br> - Particles velocity components<br> - Particles rotational velocity components<br> <br> A .xmf file is provided to read the simulation results in paraview.<br> Only the initial state and the converged state of the simulation are provided due to storage limits.