An efficient approach for dynamic global sensitivity analysis of stochastic train-track-bridge system

Keyphrases

• Global Sensitivity Analysis 100%
• Train-bridge System 100%
• Gaussian Process Model 83%
• Dynamic Response 66%
• Model-based Approach 50%
• Monte Carlo Simulation 33%
• Sensitivity Index 33%
• Individual Parameters 33%
• Illustrative Examples 16%
• Mass-spring System 16%
• Temporal Evolution 16%
• Computational Cost 16%
• Parameter Influence 16%
• Brute Force 16%
• Stochastic Dynamic System 16%
• Global Influence 16%
• Uncertain System Parameters 16%
• Local Sensitivity Analysis 16%
• Time Sensitivity 16%
• Dynamic Sensitivity Analysis 16%
• Proposed Methodology 16%

Engineering

• Gaussians 100%
• Dynamic Response 80%
• Stochastic Dynamic 20%
• System Parameter 20%
• Damper System 20%
• Computational Cost 20%
• Temporal Evolution 20%