Applying uncertainty quantification to structural systems: Parameter reduction for evaluating model complexity

Mathematics

• Adaptive Algorithm 10%
• Bayesian inference 9%
• Calibration 19%
• Coefficient of Determination 12%
• Computational Efficiency 9%
• Damper 25%
• Degree of freedom 8%
• Evaluate 14%
• Form 3%
• Functional Relationship 11%
• Gaussian Model 10%
• Gaussian Process 8%
• Ill-conditioning 11%
• Integrated System 13%
• Material Properties 11%
• Mathematical Model 20%
• Methodology 6%
• Metropolis Algorithm 12%
• Model 8%
• Model Analysis 11%
• Model Complexity 100%
• Model Selection 8%
• Modeling 5%
• Numerical Solution 6%
• Output 20%
• Parameter Sensitivity 13%
• Performance 5%
• Physics 7%
• Process Model 10%
• Sensitivity Analysis 27%
• Simulation Analysis 12%
• Sufficient 6%
• System Dynamics 10%
• Truss Structures 14%
• Uncertainty 15%
• Uncertainty Quantification 95%
• Vary 7%

Engineering & Materials Science

• Adaptive algorithms 8%
• Calibration 13%
• Computational efficiency 8%
• Dynamical systems 7%
• Geometry 5%
• Materials properties 7%
• Mathematical models 18%
• Numerical models 7%
• Physics 7%
• Sensitivity analysis 23%
• Set theory 5%
• Uncertainty 44%