Deep learning reconstruction of pressure fluctuations in supersonic shock-boundary layer interaction

Keyphrases

• Pressure Fluctuation 100%
• Shock Wave Boundary Layer Interaction 100%
• Deep Learning Reconstruction 100%
• Pressure Signal 66%
• Accurate Reconstruction 33%
• Sparsity 33%
• Root Mean Square Error 33%
• Power Spectrum 33%
• Sparse Signal 33%
• Deep Learning 33%
• Preprocessing Techniques 33%
• Direct numerical Simulation 33%
• Undersampling 33%
• Near-wall 33%
• Aeroelasticity 33%
• Aerodynamics 33%
• Interaction Flow 33%
• Cost Simulation 33%
• Deep Learning Model 33%
• Model Accuracy 33%
• Wall Pressure Fluctuations 33%
• Long Short-term Memory 33%
• Memory Models 33%
• Flow-focusing 33%
• Deep Learning Prediction 33%
• Cubic Spline Function 33%
• Interaction Region 33%
• Reduced Data 33%
• Long-Short 33%

Engineering

• Boundary Layer 100%
• Pressure Fluctuation 100%
• Layer Interaction 100%
• Deep Learning Method 100%
• Pressure Signal 50%
• Sparse Signal 25%
• Sparsity 25%
• Root Mean Square Error 25%
• Wall-Pressure 25%
• Power Spectra 25%
• Cubic Spline 25%
• Processing Stage 25%
• Interaction Region 25%
• Long Short-Term Memory 25%
• Direct Numerical Simulation 25%