--- dataset_info: - config_name: geometry features: - name: node_coordinates_x list: float64 - name: node_coordinates_y list: float64 splits: - name: default num_bytes: 727176 num_examples: 1 download_size: 439534 dataset_size: 727176 - config_name: parameters features: - name: angle_of_attack dtype: float64 splits: - name: default num_bytes: 800 num_examples: 100 download_size: 1465 dataset_size: 800 - config_name: snapshots features: - name: pressure list: float64 - name: velocity list: float64 splits: - name: default num_bytes: 72717600 num_examples: 100 download_size: 49385445 dataset_size: 72717600 configs: - config_name: geometry data_files: - split: default path: geometry/default-* - config_name: parameters data_files: - split: default path: parameters/default-* - config_name: snapshots data_files: - split: default path: snapshots/default-* --- # Airfoil Transonic Flow - Internal Domain Dataset ## Dataset Description This dataset contains transonic flow simulations around an airfoil, focusing on internal flow field quantities with varying angle of attack. ### Dataset Summary The Airfoil Transonic Internal dataset provides numerical simulations of compressible transonic flow around an airfoil profile. The dataset focuses on aerodynamic quantities in the flow field surrounding the airfoil, including pressure and velocity distributions in the computational domain, making it valuable for flow field analysis, aerodynamic research, and machine learning applications in computational fluid dynamics. ## Dataset Structure ### Data Instances The dataset consists of three configurations: - **geometry**: Internal domain node coordinates - **snapshots**: Flow field solutions in the domain - **parameters**: Flow condition parameters (angle of attack) ### Data Fields #### Geometry Configuration - `node_coordinates_x`: Sequence of x-coordinates of internal domain nodes (float64) - `node_coordinates_y`: Sequence of y-coordinates of internal domain nodes (float64) #### Snapshots Configuration - `pressure`: Pressure field in the internal domain (float64) - `velocity`: Velocity magnitude field in the internal domain (float64) #### Parameters Configuration - `angle_of_attack`: angle of attack for each simulation (float64) ### Data Splits - `default`: Contains all simulations with varying angle of attack ## Dataset Creation ### Source Data The dataset was generated using computational fluid dynamics simulations of the Euler equations for compressible transonic flow around an airfoil. The simulations capture the complex flow phenomena in the transonic regime, including shock waves and expansion regions. ### Preprocessing Internal domain quantities (flow field around the airfoil, excluding the boundary) are included in this dataset. Solutions are stored as 1D arrays corresponding to the nodes in the computational mesh. ## Usage ```python from datasets import load_dataset import numpy as np import matplotlib.pyplot as plt # Load geometry ds_geom = load_dataset("SISSAmathLab/airfoil-transonic-internal", name="geometry") # Load snapshots ds_data = load_dataset("SISSAmathLab/airfoil-transonic-internal", name="snapshots") # Load parameters ds_params = load_dataset("SISSAmathLab/airfoil-transonic-internal", name="parameters") # Visualize pressure field in internal domain pts_x = np.asarray(ds_geom['default']['node_coordinates_x']).flatten() pts_y = np.asarray(ds_geom['default']['node_coordinates_y']).flatten() pressure = ds_data['default']['pressure'][0] angle_of_attack = ds_params['default']['angle_of_attack'][0] plt.figure(figsize=(12, 6)) plt.scatter(pts_x, pts_y, c=pressure, cmap='RdBu_r', s=1, alpha=0.6) plt.colorbar(label='Pressure') plt.title(f'Airfoil Flow Field (angle of attack={angle_of_attack:.2f})') plt.xlabel('x') plt.ylabel('y') plt.axis('equal') plt.grid(True, alpha=0.3) plt.show() ``` ## Related Datasets See also: **Airfoil Transonic Boundary** dataset for aerodynamic quantities specifically at the airfoil surface.