DrivAerRim DrivAerRim: A full vehicle dataset with rotating wheels for data-driven aerodynamic design of wheel rims DrivAerRim is a full vehicle computational fluid dynamics (CFD) dataset designed to isolate how rim geometry affects rotating wheel flow, component forces, and complete vehicle aerodynamics. It contains steady Reynolds-averaged Navier-Stokes (RANS) results for all 904 rim geometries from the DeepWheel dataset, installed on a fixed, full scale DrivAer estateback.
Independent publisher
Chao Xia
BeyondXia1212
AI for automotive aerodynamics
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