Gaussian Process–Based Inverse Uncertainty Quantification for TRACE Physical Model Parameters Using Steady-State PSBT Benchmark

Keyphrases

• Steady State 100%
• Physical Model 100%
• Inverse Uncertainty Quantification 100%
• PSBT Benchmark 100%
• Posterior Distribution 50%
• Input Uncertainty 50%
• Model Prediction 25%
• Quantity of Interest 25%
• Simulation Model 25%
• Void Fraction 25%
• Distribution Type 25%
• Computational Burden 25%
• Markov Chain Monte Carlo Methods 25%
• Large Uncertainty 25%
• Mean-variance 25%
• Estimating System 25%
• Expert Opinion 25%
• Nuclear Engineering 25%
• Uncertainty Reduction 25%
• Organization for Economic Cooperation and Development 25%
• Thermal-hydraulic Code 25%
• Prediction Uncertainty 25%
• Bayesian Perspective 25%
• Pressurized Water Reactor 25%
• Subchannel 25%
• Test Benchmark 25%
• Information Uncertainty 25%
• Nuclear Energy Agency 25%
• Engineering Example 25%
• Forward Uncertainty Quantification 25%
• Channel Test 25%
• Best Estimate Plus Uncertainty 25%
• Quantification Framework 25%
• Gaussian Process Emulator 25%
• Quantified Uncertainty 25%
• Bundle Tests 25%
• Uncertain Inputs 25%
• Variance Distribution 25%
• System Thermal-hydraulic Code 25%
• Uncertainty/sensitivity Analysis 25%
• Uncertainty Quantification Analysis 25%

Engineering

• Gaussians 100%
• Model Parameter 100%
• Physical Model 100%
• Uncertainty Quantification 100%
• Posterior Distribution 40%
• Thermal Hydraulics 40%
• Input Uncertainty 40%
• Nuclear Energy 20%
• Simulation Model 20%
• Model Prediction 20%
• Expert Opinion 20%
• Pressurized Water Reactor 20%
• Organization for Economic Cooperation and Development 20%
• Engineering Example 20%
• Distribution Type 20%
• Porosity 20%
• Nuclear Engineering 20%