Geometric Design of Hypersonic Vehicles for Optimal Mission Performance using Machine Learning

Keyphrases

• Aerodynamic Heating 50%
• Aerodynamic Model 100%
• Algorithm Performance 50%
• Bayesian Optimization 100%
• Design Framework 50%
• Energy-based 50%
• Flow Theory 50%
• Geometric Design 100%
• Geometric Parameters 50%
• High Efficiency 50%
• High Performance Computing 50%
• Hypersonic 100%
• Hypersonic Vehicle 100%
• Integrated Design 50%
• Iterative Procedure 50%
• Machine Learning 100%
• Machine Learning Algorithms 50%
• Mission Performance 100%
• Mission Profile 50%
• Newtonian Flow 50%
• Optimal Trajectory 50%
• Panel Method 50%
• Performance Variation 50%
• Problem Formulation 50%
• Pseudospectral Optimal Control 50%
• Recent Advances 50%
• Trajectory Design 50%
• Trajectory Optimization 50%
• Trajectory Optimization Problem 50%

Engineering

• Aerodynamic Model 100%
• Airframe 50%
• Flow Theory 50%
• Geometric Parameter 50%
• Hypersonic Vehicle 100%
• Integrated System 50%
• Iterative Procedure 50%
• Machine Learning Algorithm 50%
• Newtonian Flow 50%
• Optimal Trajectory 50%
• Optimisation Problem 50%
• Panel Method 50%
• Problem Formulation 50%
• Reference Model 50%