BlendedNet++: A Large-Scale Blended Wing Body Aerodynamics Dataset and Benchmark

The dataset

From dataset to benchmark, at aircraft scale

BlendedNet++ scales the original BlendedNet effort into a large-scale aerodynamics dataset and benchmark for blended wing body aircraft — broader geometric coverage, more high-fidelity simulations, and standardized evaluation protocols so neural surrogates for aircraft aerodynamics can finally be compared on equal footing.

BlendedNet++ overview: large-scale BWB geometry generation, CFD simulation, and benchmark evaluation.

Contributions

What the paper delivers

Large-scale BWB corpus

A substantially expanded set of blended-wing-body geometries and high-fidelity aerodynamic simulations.

Benchmark protocol

Defined splits, metrics, and baselines turn aircraft surrogate modeling into a reproducible, comparable research problem — mirroring what CarBench did for cars.

Foundation for aircraft SciML

Together with DrivAerNet++ and CarCrashNet, completes a family of open benchmarks spanning automotive aero, crash, and aircraft aerodynamics.

Reference

Citation

@article{sung2025blendednetpp,
  title   = {BlendedNet++: A Large-Scale Blended Wing Body Aerodynamics
             Dataset and Benchmark},
  author  = {Sung, Nicholas and Spreizer, Steven and Elrefaie, Mohamed and
             Jones, Matthew C. and Ahmed, Faez},
  journal = {arXiv preprint arXiv:2512.03280},
  year    = {2025}
}

Keep exploring