Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022

✍ Scribed by Zhu Mao (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 151
• Series: Conference Proceedings of the Society for Experimental Mechanics Series
• Category: Library

✦ Synopsis

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 40^th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the third volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on:

• Uncertainty Quantification and Propagation in Structural Dynamics
• Bayesian Analysis for Real-Time Monitoring and Maintenance
• Uncertainty in Early Stage Design
• Quantification of Model-Form Uncertainties
• Fusion of Test and Analysis
• MVUQ in Action

✦ Table of Contents

Preface
Contents
1 On Model Validation and Bifurcating Systems: An Experimental Case Study
1.1 Introduction
1.2 Experimental Case Study
1.2.1 Test Sequence
1.2.2 Response Data
1.3 Model Development and Parameter Estimation
1.3.1 Equations of Motion
1.3.2 Parameter Estimation
1.4 Validation Features and Metrics for Nonlinear Systems
1.5 Validation
1.5.1 Time Histories
1.5.2 Frequency Response
1.5.3 Bifurcation Behaviour
1.6 Discussion and Conclusions
References
2 A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters
2.1 Introduction
2.2 Offline and Online Bayesian Parameter Estimation
2.3 Numerical Investigation
2.4 Conclusion
References
3 Finite Element Model Updating Using a Shuffled Complex Evolution Markov Chain Algorithm
3.1 Introduction
3.2 Bayesian Inference
3.3 Shuffled Complex Evolution Markov Chain Algorithm
3.4 Application: Updating the Young's Modulus
3.5 Conclusion
References
4 On the Dynamic Virtualization of a 3D-Printed Scaled Wind Turbine Blade
4.1 Introduction
4.2 3D-Printed Scaled Titanium WT Blade: Test Campaign
4.3 3D-Printed Scaled Titanium WT Blade: FE Model Validation
4.4 Joint Input-Response Estimation Through the AKF during Random and Pull and Release Tests on the 3D-Printed Scaled WT Blade
4.5 Conclusions
References
5 Wavelet Energy Features for Damage Identification: Sensitivity to Measurement Uncertainties
5.1 Introduction
5.2 Background Theories and Methodology
5.2.1 WPT Energy-Based Damage-Sensitive Feature
5.2.2 Back-Propagation (BP) Neural Network
5.2.3 WPT Energy and Neural Network Integrated (WPNE-NN) Approach
5.3 Numerical Investigation
5.3.1 Model Setup
5.3.2 Damage Identification Procedure
5.3.3 Effect of Measurement Noise
5.3.4 Variation in Excitations
5.4 Experimental Investigation
5.5 Conclusions
References
6 Advanced Meta-Modelling Techniques and Sensitivity Analysis for Rotordynamics in an Uncertain Context
6.1 Introduction
6.2 Description of the Rotor
6.3 Hybrid Surrogate Model
6.3.1 Uncertain Parameters
6.3.2 Polynomial Chaos
6.3.3 Kriging
6.3.4 Kriging for a Symmetrical Problem
6.3.5 Hybrid Formulation
6.3.6 Exploitation of PCE Coefficients
6.4 Results
6.4.1 Construction of the Surrogate Models
6.4.2 Comparison of the Kriging Strategies
6.4.3 Variance-Based Sensitivity Analysis Based on Sobol Indices
6.5 Conclusion
References
7 Variational Filter for Predictive Modeling of Structural Systems
7.1 Introduction
7.2 Background
7.3 Analysis
7.4 Conclusion
References
8 Optimal Sensor Configuration Design for Virtual Sensing in a Wind Turbine Blade Using Information Theory
8.1 Analysis
8.2 Application
8.3 Conclusions
References
9 Probability Bounds Analysis Applied to Multi-purpose Crew Vehicle Nonlinearity
Acronyms
9.1 Introduction
9.2 Combining Epistemic and Aleatory Uncertainty
9.3 SOP UQ Applied to SLS
9.3.1 Guidance Navigation and Control
9.3.2 Buffet
9.4 SOP Analysis of SLS Using Surrogate Test Data
9.4.1 Generation of Linear MPCV Models Based on Surrogate Test Data
9.4.2 Uncertainty Models for MPCV/MSA HCB Components
9.4.3 SOP UQ Analysis for Additional Model Ensemble Members
9.5 Conclusion
References
10 A Physics-Based Reduction with Monitoring Data Assimilation for Adaptive Representations in Structural Systems
10.1 Introduction
10.2 Framework Formulation
10.3 Analysis
10.4 Conclusions
References
11 Comprehensive Testing Environment to Evaluate Approaches in Uncertainty Quantification for Passive and Active Vibration Isolation
11.1 Introduction
11.2 Analytical Model
11.3 Experimental Test Setup
11.4 Numerical and Experimental Vibration Isolation Responses
11.5 Summary and Outlook
References
12 An Optimal Sensor Network Design Framework for Structural Health Monitoring Using Value of Information
12.1 Introduction
12.2 Value of Information Metric
12.3 Application to Miter Gates
12.4 Conclusions
References
13 Uncertainty Effects on Bike Spoke Wheel Modal Behaviour
13.1 Introduction
13.2 Model Updating by Mode Shape Tracing
13.3 Rear Bike Spoke Wheel in Free-Free Conditions
13.3.1 Effect of Spoke Pretension
13.3.2 Experimental Modal Analysis
13.3.3 Numerical to Experimental Comparison
13.4 Optimisation
13.5 Conclusion
References
14 Probabilistic Assessment of Footfall Vibration
14.1 Introduction
14.2 Proposed Solution
14.3 Methodology
14.4 Results
14.5 Conclusion
References
15 Digital Twinning of Modeling for Offshore Wind Turbine Drivetrain Monitoring: A Numerical Study
15.1 Introduction
15.2 Analysis
15.3 Conclusion
References
16 Prediction of Footbridge Vibrations and Their Dependence on Pedestrian Loads
16.1 Introduction
16.2 Modelling of Walking Loads
16.3 Studies of This Paper
16.3.1 Impact of Decisions Related to the Choice of Load Model
16.3.2 Impact of Decisions Related to Modelling the Load Amplification Factor
16.4 Conclusion and Discussion
References
17 Combining Simulation and Experiment for Acoustic-Load Identification
17.1 Introduction
17.2 Bayesian Load Estimation
17.3 Application to a Direct-Field Acoustic Test
17.4 Conclusions
References