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Summary

12,000 LES CFD runs across 2,400 drone planform geometries, generated with nTop Fluids on CoreWeave GPU infrastructure for NASA’s CFD Vision 2030 Grand Challenge.

Package Details


Planform parameterization A large-eddy simulation (LES) CFD dataset generated with nTop Fluids — nTop’s GPU-native LBM-LES solver — in collaboration with CoreWeave, produced in the context of NASA’s CFD Vision 2030 Grand Challenge for large-scale ensemble simulation. Orbit render of a sample planform geometry

What’s in it

  • 12,000 CFD runs across 2,400 distinct fixed-wing UAS planform geometries (Latin Hypercube sampled) at 5 angles of attack each
  • 10,000 runs completed in 32.2 hours; 11,950 of 12,000 completed overall
  • Fixed cruise conditions: Mach 0.21, ISA standard day at 30,000 ft
  • Per-run outputs: aerodynamic scalars (C_L, C_D, L/D, moments), surface pressure/force distributions, and full 3D flow fields (instantaneous + time-averaged)
  • ~1.1 GB per run, ~13-14 TB total
  • Simulated on CoreWeave’s GPU cloud infrastructure

Intended use

Design space characterization and surrogate-model / MDO (multidisciplinary design optimization) training over parametric planform geometry. Read more:

Access

This dataset is not available for direct download. Use the “Request Access” button on this page to request it.

License

Proprietary.

Source

https://community.ntop.com/packages/ntop/nasa-cfd-2030-les-dataset