Title:
Model Validation and Uncertainty Quantification, Volume 3 Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022
Author:
Mao, Zhu. editor.
ISBN:
9783031040900
Edition:
1st ed. 2023.
Physical Description:
VIII, 150 p. 143 illus., 128 illus. in color. online resource.
Series:
Conference Proceedings of the Society for Experimental Mechanics Series,
Contents:
Chapter 1. On Model Validation and Bifurcating Systems: An Experimental Case Study -- Chapter 2. A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters -- Chapter 3. Finite Element Model Updating Using a Shuffled Complex Evolution Markov Chain Algorithm -- Chapter 4. On the Dynamic Virtualization of a 3D-printed Scaled Wind Turbine Blade -- Chapter 5. Wavelet Energy Features for Damage Identification: Sensitivity to Measurement Uncertainties -- Chapter 6. Advanced Meta-modelling Techniques and Sensitivity Analysis for Rotordynamics in an Uncertain Context -- Chapter 7. Variational Filter for Predictive Modeling of Structural Systems -- Chapter 8. Optimal Sensor Configuration Design for Virtual Sensing in a Wind Turbine Blade using Information Theory -- Chapter 9. Probability Bounds Analysis Applied to Multi-Purpose Crew Vehicle Nonlinearity -- Chapter 10. Physics-Based Reduction with Monitoring Data Assimilation for Adaptive Representations in Structural Systems -- Chapter 11. Comprehensive Testing Environment to Evaluate Approaches in Uncertainty Quantification for Passive and Active Vibration Isolation -- Chapter 12. An Optimal Sensor Network Design Framework for Structural Health Monitoring Using Value of Information -- Chapter 13. Uncertainty Effects on Bike Spoke Wheel Modal Behaviour -- Chapter 14. Probabilistic Assessment of Footfall Vibration -- Chapter 15. Digital Twin Modeling for Offshore Wind Turbine Drivetrain Monitoring: A Numerical Study -- Chapter 16. Prediction of Footbridge Vibrations and their Dependence on Pedestrian Loads -- Chapter 17. Combining Simulation and Experiment for Acoustic-Load Identification.
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Electronic Access:
https://doi.org/10.1007/978-3-031-04090-0Copies:
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