CRMpert Dataset

This dataset contains flow fields around wings perturbed from the Common Research Model. It contains 288 shapes and 2145 flow fields, acting as a task-specific dataset to fine-tune a pre-trained model for a more precise local surrogate model.

Perturbation

The wing geometry is controlled at seven spanwise sections. At each control section, the sectional airfoil is parameterized using 20 CST coefficients, each perturbed within $\pm 40%$ of the corresponding CRM coefficient. Dihedral offsets at the control sections are perturbed within $\pm 0.05 \cdot c_{\mathrm{root}}$, and twist angles are sampled uniformly from $-3^\circ$ to $0^\circ$. The spanwise distributions of these parameters are then constructed via interpolation between the control sections.

Data format

1. Geometric parameters samples.parquet includes the perturbed values of the wings.

   indexs	type	variables	comments
   0	wing shape index (corresponding to in geom0.npy)
   1	operating condition index (count in each wing shape)
   2-3	operating condtions	angle of attack (in degrees), mach number
   4-5	reference values	reference area (to calculate coefficient), half span length
   6-8	coefficient from the solver	lift, drag, pitching moment (acc. LE)
   9-11	coefficient by recalculating from the surface flow (there are ones used for ML models)	lift, drag, pitching moment (acc. LE)
   12-81	upper surface CSTs	7 x sections, 10 x coefficients under each section
   82-151	lower surface CSTs	7 x sections, 10 x coefficients under each section
   152-157	twists angles	sections 1-6
   158-164	dihedrals	7 x sections

2. Index file (index.npy), Reference surface mesh and surface physical quantities on this reference mesh (geom0.npy, data.npy). Please refer to the SuperWing dataset