DrivAerNet
A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction
3D3d meshesPhysicsPoint cloudTabularIntroduced 2024-03-12
DrivAerNet is a large-scale, high-fidelity CFD dataset of 3D industry-standard car shapes designed for data-driven aerodynamic design. It comprises 4000 high-quality 3D car meshes and their corresponding aerodynamic performance coefficients, alongside full 3D flow field information.
It includes:
- CFD Simulation Data: The raw dataset, including full 3D pressure, velocity fields, and wall-shear stresses, computed using 8-16 million mesh elements has a total size of 16TB.
- Curated CFD Simulations: For ease of access and use, a streamlined version of the CFD simulation data is provided, refined to include key insights and data, reducing the size to 1TB.
- 3D Car Meshes: A total of 4000 designs, showcasing a variety of conventional car shapes and emphasizing the impact of minor geometric modifications on aerodynamic efficiency. The 3D meshes and aerodynamic coefficients 84GB.
- 2D slices include the car's wake in the -direction and the symmetry plane in the -direction 12GB.