Sparse Bayesian rational approximation for uncertainty quantification of structural dynamic models

Keyphrases

• Surrogate Model 100%
• Rational Approximation 100%
• Uncertainty Quantification 100%
• Structural Dynamic Model 100%
• Sparse Bayesian Method 100%
• Stochastic Response 50%
• Learning Approaches 25%
• Physical Systems 25%
• Frequency Response Function 25%
• System Response 25%
• Structural Dynamics 25%
• Sparse Bayesian Learning 25%
• Uncertainty Propagation 25%
• Frame Structure 25%
• Complex Coefficients 25%
• Parameter Uncertainty 25%
• Hierarchical Prior 25%
• System Frequency Response 25%
• High-dimensional Problems 25%
• Structural Dynamic Systems 25%
• Polynomial Basis 25%
• Polynomial Term 25%
• Random Input Parameters 25%
• Prior Construction 25%

Engineering

• Structural Dynamics 100%
• Uncertainty Quantification 100%
• Surrogate Model 100%
• Dynamic Models 100%
• Learning Approach 25%
• Applicability 25%
• Physical System 25%
• Frequency Response Function 25%
• System Response 25%
• Input Parameter 25%
• Frame Structure 25%
• Dimensional Problem 25%
• Polynomial Term 25%
• Parameter Uncertainty 25%
• Sparse Bayesian Learning 25%
• System Frequency 25%
• Frequency Response 25%