HiLiftAeroML: High Fidelity Computational Fluid Dynamics Dataset for High Lift Aircraft Aerodynamics Contact: Neil Ashton (contact@caemldatasets.org) Summary This dataset provides the first ever open source high fidelity CFD dataset of a high lift aircraft for the purpose of AI surrogate model development. The dataset is composed of 1,800 samples, arising from 180 geometry variants of the NASA Common Research Model (CRM HL) across 10 angles of attack (from 4° to 22° in 2° increments). One of the key novelties of this dataset is the use of a GPU accelerated high fidelity explicit, wall modeled LES (WMLES) approach on solution adapted grids containing between 300M and 500M cells. By making this data publicly available, the aim is to accelerate the research and development of AI surrogate modeling within the aerospace industry by addressing the lack of high fidelity, scale resolving CFD training data for complex 3D airframes in the high lift regime. CFD Solver The simulations were performed using the "Fidelity Charles" flow solver, an explicit, unstructured, finite volume solver for the compressible Navier Stokes equations. Accuracy: 2nd order accurate in space and 3rd order accurate…
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