Strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems

Engineering

• Reduced Order Model 100%
• Uncertainty Quantification 100%
• Energy Engineering 33%
• Engineering 33%
• General Mathematical Framework 16%
• Model Parameter 16%
• Linear Response 16%
• Degree of Freedom 16%
• Nonlinearity 16%
• Phase Space 16%
• Equilibrium Model 16%
• Nonlinear Response 16%
• Dimensionality 16%
• Vortex 16%
• Initial Data 16%
• Model Prediction 16%
• Modeling Strategy 16%
• Initial Value 16%
• Natural System 16%
• Model Fidelity 16%
• Strange Attractor 16%
• Lyapunov Exponent 16%
• Physical Quantity 16%
• Complex Model 16%
• Computational Resource 16%
• Principal Direction 16%
• Systematic Methodology 16%

Keyphrases

• Direct Monte Carlo 16%
• Turbulent Vortex 16%
• Statistical Variability 16%

Mathematics

• Direct Monte Carlo 20%
• Statistical Estimate 20%