Distributed Training of U-Net Architecture for Data-Driven Aerodynamic Flow and Pollutant Dispersion Prediction in Urban Environments - DATASET
Authors/Creators
Description
This repository is intented to share an example of the CFD simulation from the research paper entitled Distributed Training of U-Net Architecture for Data-Driven
Aerodynamic Flow and Pollutant Dispersion Prediction in Urban Environments. In addition the source code for the distributed training of the model is uploaded in a Github repository. All CFD cases cannot be uploaded due to the large amount of storage it would take.
Description
CFD_case01.zip -> a reference case with the raw Velocity (U) and Tracer (T) from OpenFOAM.
cell_centers.zip -> buildings.stl and raw cell centers file (C) from OpenFOAM for geometry depiction.
best_model.pth -> best model already trained for predicting U and T fields.
interpolated_cases.h5 -> a set of cases interpolated to the regular mesh.
mesh_data.h5 -> mesh data from the cases + derived fields.