Model Parameter Calibration for Vibration Fatigue Analysis by Means of Bayesian Updating and Artificial Neural Network Based Surrogate Models

Keyphrases

• Neural Network 100%
• Artificial Neural Network 100%
• Surrogate Model 100%
• Bayesian Updating 100%
• Model Parameter Calibration 100%
• Vibration Fatigue Analysis 100%
• Frequency Response Function 60%
• Parameter Calibration 40%
• Vibrational Load 40%
• Additional Inputs 20%
• Model Updating 20%
• Mode Shape 20%
• Vehicle Components 20%
• Prediction Accuracy 20%
• Experimental Modal Analysis 20%
• Sensitivity Analysis 20%
• Update Mechanism 20%
• Real Parameters 20%
• Calibration Accuracy 20%
• Control Parameters 20%
• Parameter Uncertainty 20%
• Total Mass 20%
• Eigenfrequency 20%
• Function Curve 20%
• Uncertain Model Parameter 20%
• Lifetime Estimation 20%
• Fatigue Life 20%
• Influential Parameters 20%
• Vibration Fatigue 20%
• Morris Method 20%
• Fatigue Distribution 20%
• Nominal Reference 20%

Engineering

• Model Parameter 100%
• Bayesian Updating 100%
• Surrogate Model 100%
• Fatigue Analysis 100%
• Artificial Neural Network 100%
• Frequency Response Function 60%
• Mode Shape 20%
• Parameter Uncertainty 20%
• Eigenfrequencies 20%
• Control Parameter 20%
• Modal Analysis 20%
• Fatigue Lifetime 20%
• Morris Method 20%
• Schematic Diagram 20%
• Circuit Diagrams 20%

Material Science

• Modal Testing 100%