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.
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
- Geometric parameters
samples.parquetincludes the perturbed values of the wings.
- 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
