Double-Delta Multi-Fidelity Aerodynamics Dataset

Double-Delta Multi-Fidelity Aerodynamics Dataset is an open-source benchmark for a parametric family of double-delta wings. It contains paired low-fidelity Vortex Lattice Method and high-fidelity simulation data. The dataset was created by yirens and last updated on 2026-03-22.

Use Cases

• Developing surrogate models based on paired low- and high-fidelity aerodynamic data.
• Conducting multi-fidelity learning experiments based on the Vortex Lattice Method and high-fidelity simulation results.
• Performing parametric sensitivity studies based on the double-delta wing family parameters.
• Benchmarking Uncertainty Quantification (UQ) methods based on the multi-fidelity aerodynamic data.

Strengths

• Dataset is explicitly designed as a multi-fidelity benchmark, pairing low- and high-fidelity data.
• Dataset is open-source and intended for research in multiple advanced fields like surrogate modeling and UQ.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

yirens on Hugging Face

Collection Method

Likely generated via computational fluid dynamics simulations, including Vortex Lattice Method.

Freshness

Last updated 2026-03-22 21:24:58; freshness should be verified.