HiLiftAeroML: A High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics
HiLiftAeroML is, to our knowledge, the first open high-fidelity computational fluid dynamics dataset dedicated to high-lift aircraft aerodynamics. It contains 1,800 simulations spanning 180 variants of the NASA Common Research Model high-lift configuration and ten angles of attack from $4^\circ$ to $22^\circ$. Each case was generated with a GPU-accelerated explicit wall-modeled large-eddy simulation approach on solution-adapted grids of 300--500 million cells, covering attached, separated, and post-stall flow conditions. Comparisons with wind-tunnel measurements for reference landing configurations show good agreement in integrated loads and sectional pressures, with grid adaptation subst...
| Authors | Neil Ashton, Adam Clark, Konrad Goc et al. |
|---|---|
| Primary category | physics.flu-dyn |
| Published | 19 May 2026 |
| Last updated at source | 25 September 2026 |
Connected in the knowledge graph
- ayz2/hiliftaeroml_processedDataset · cited by
- nvidia/HiLiftAeroMLDataset · cited by
Models and datasets referencing this paper
- nvidia/HiLiftAeroMLDataset
- ayz2/hiliftaeroml_processedDataset
Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.