Surrogate Modeling of the Aerodynamic Performance for Airfoils in Transonic Regime
Author:
Affiliation:
1. Technische Universitat Munchen
2. Cairo University
3. Stevens Institute of Technology
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2024-2220
Reference21 articles.
1. Reduced-Order Modeling of Unsteady Aerodynamics Across Multiple Mach Regimes
2. Non-linear reduced order models for steady aerodynamics
3. Aerodynamic Data Predictions for Transonic Flows via a Machine-Learning-based Surrogate Model
4. Multiple Aerodynamic Coefficient Prediction of Airfoils Using a Convolutional Neural Network
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