AeroGNN Dataset
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资源简介：
This dataset contains OpenFOAM CFD simulation results supporting the paper "AeroGNN: A multi-fidelity physics-informed graph neural network for aerodynamic design optimization of tall buildings." It includes 558 fine-resolution and 270 coarse-resolution RANS simulations of tall building, parameterized via the Gielis superformula and three-dimensional modifications. Each case includes velocity and pressure fields, cell-center coordinates, and mesh connectivity. Aerodynamic force coefficients (drag, lift, lift standard deviation) were computed from OpenFOAM's forceCoeffs post-processing and are contained in the csv files. See the included README.md.
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Zenodo创建时间：
2026-08-23
