Neural Network Modeling of Transonic Buffet on the NASA Common Research Model

Engineering

• Computational Time 100%
• NASA 100%
• Reynolds-Averaged Navier-Stokes 100%
• Aerodynamics 100%
• Recurrent 50%
• Computational Fluid Dynamics 50%
• Prediction Capability 50%
• Flow Condition 50%
• Aerodynamic Characteristic 50%
• Pitching Motion 50%
• Nonlinear System Identification 50%
• Transonic Flow 50%
• Fuzzy Model 50%
• Flow Characteristics 50%
• Perceptron 50%

Keyphrases

• Neural Network Model 100%
• Reduced Order Modeling 100%
• Transonic Buffet 100%
• NASA Common Research Model 100%
• Computation Time 40%
• Flow Condition 20%
• Prediction Skill 20%
• Modeling Techniques 20%
• Multilayer Perceptron Neural Network (MLPNN) 20%
• Flow Characteristics 20%
• Computational Fluid Dynamics 20%
• Precise Prediction 20%
• Dynamic Solution 20%
• Flow Effect 20%
• Aerodynamics 20%
• Pitching Motion 20%
• Aircraft Configuration 20%
• Nonlinear System Identification 20%
• URANS 20%
• Aerodynamic Characteristics 20%
• Unsteady Reynolds-averaged Navier-stokes Simulation 20%
• Neuro-fuzzy Model 20%
• Transonic Flow 20%
• Navier-Stokes Solution 20%
• Buffet Aerodynamics 20%
• Buffet Onset 20%
• Time Series Trend 20%
• Modeling Results 20%