Efficient unsteady aerodynamic loads prediction based on nonlinear system identification and proper orthogonal decomposition

Keyphrases

• Prediction Method 100%
• Reduced Order Model 100%
• Proper Orthogonal Decomposition 100%
• Unsteady Aerodynamics 100%
• Unsteady Aerodynamic Loads 100%
• Nonlinear System Identification 100%
• Load Prediction 100%
• Input-output Model 33%
• Nonlinear Characteristics 33%
• System Dynamics 33%
• Numerical Investigation 33%
• Nonlinear Effects 33%
• Model Building 33%
• Model Identification 33%
• Simulation Framework 33%
• Computational Fluid Dynamics 33%
• Computational Fluid Dynamics Simulation 33%
• Modeling Methodology 33%
• Dynamic Solution 33%
• Aeroelastic Simulation 33%
• Flow Solver 33%
• Identification Task 33%
• Aerodynamic Calculation 33%
• Flow Mode 33%
• Force Coefficients 33%
• Surface Pressure Distribution 33%
• Surrogate-based 33%
• Neuro-fuzzy Approach 33%
• Surrogate Approach 33%
• Forced Motion 33%
• Linear Characteristics 33%
• Transonic Flow 33%
• Surface Pressure Fluctuations 33%
• Moment Coefficient 33%
• Shock System 33%
• Lambda Shock 33%
• Decomposition Coefficient 33%
• Local Linear Neuro-fuzzy 33%
• High Subsonic Flow 33%
• Aerodynamic Surface 33%
• Freestream Conditions 33%

Engineering

• Reduced Order Model 100%
• Aerodynamic Load 100%
• Proper Orthogonal Decomposition 100%
• Nonlinear System Identification 100%
• Computational Fluid Dynamics 66%
• Aerodynamics 66%
• Induced Surface 33%
• Recurrent 33%
• Nonlinear Effect 33%
• Good Correlation 33%
• Flow Solver 33%
• Force Coefficient 33%
• Aerodynamic Surface 33%
• Pressure Fluctuation 33%
• Surface Pressure Distribution 33%
• Transonic Flow 33%
• Subsonic Flow 33%
• Moment Coefficient 33%
• Decomposition Coefficient 33%
• Lambda Shock 33%