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thuerey-group/CRMpert

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… See the full description on the dataset page: https://huggingface.co/datasets/thuerey-group/CRMpert.

sourceHugging Facecc-by-sa-4.0updated 6mo agoView on Hugging Face
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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.

<img src="https://cdn-uploads.huggingface.co/production/uploads/6878e482bd4380c813fd99de/yvjfmmIm8oEfXKwV8U6Cd.png" alt="sections" width="40%">

Data format

  1. 1.Geometric parameters samples.parquet includes the perturbed values of the wings.
indexstypevariablescomments
0wing shape index (corresponding to in geom0.npy)
1operating condition index (count in each wing shape)
2-3operating condtionsangle of attack (in degrees), mach number
4-5reference valuesreference area (to calculate coefficient), half span length
6-8coefficient from the solverlift, drag, pitching moment (acc. LE)
9-11coefficient by recalculating from the surface flow (there are ones used for ML models)lift, drag, pitching moment (acc. LE)
12-81upper surface CSTs7 x sections, 10 x coefficients under each section
82-151lower surface CSTs7 x sections, 10 x coefficients under each section
152-157twists anglessections 1-6
158-164dihedrals7 x sections
  1. 1.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