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Model Validation and Uncertainty Quantification, Vol. 3: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024 [Pehme köide]

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Model Validation and Uncertainty Quantification, Vol. 3: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024Suurem pilt
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Püsilink: https://www.kriso.ee/db/9783031688959.html
Märksõnad:
Model Validation and Uncertainty Quantification, Volume 3:  Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the third volume of ten 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 in Dynamics Fusion of Test and Analysis Model Form Uncertainty: Round Robin Challenge UQVI (Uncertainty Quantification in Vibration Isolation) Recursive Bayesian System Identification Virtual Sensing & Realtime Monitoring Surrogate Modeling and Reduced Order Models
1. Time-Normalized Unitless Metrics for Quantifying the Value of an SHM
System Throughout the Structure's Lifecycle.-
2. A Structured Knowledge Graph
for a Geometric and Behavioral Digital Twin in the Context of Modal Testing.-
3. Propagation of Systematic Sensor Errors into the Frequency Domain - A
Matlab Software Framework.-
4. Tutorial and Application of Bayesian
Statistics on Assessing Model Form Uncertainty in Vibration Isolation.-
5.
Physics-informed Information Field Theory Approach to Dynamical System
Parameter and State Estimation in Path Space.-
6. Efficient Frequency-based
Modelling of Rotating Tire Dynamics for NVH Applications.-
7.
Population-based Mode Shape Identification of Structures via Graph Neural
Networks.-
8. Stochastic Model Correction for the Adaptive Vibration
Isolation Round-Robin Challenge.-
9. Spectral Model Fusion for Input
Identification.-
10. Multiscale Corrosion Damage Diagnostics and Prognostics
for a Miter Gate.-
11. Analyzing the Influential Factors on ICaF Performance
in Bayesian Model Calibration and Forecasting.-
12. Identification of Railway
Bridge Modal Properties via Acceleration Data from Traversing Trains.-
13.
Propagation of Geometric Uncertainties Through the Analytic Derivative of the
System Matrices.-
14. Physics-Informed Model Order Reduction via Generalized
Characteristic Value Decomposition.-
15. Tribo-Dynamics Digital Twins (TDDT):
Prediction of Friction and Frequency Response Function (FRF) in a Dry Sliding
Tribological Contact.-
16. Dynamic State Estimation via Likelihood-Free
Bayesian Inference Based on Conditional Invertible Neural Networks.-
17.
Bayesian Decision-theoretic Model Selection for Monitored Systems.-
18. An
Elephant in the Room: Forecasting Using Validated Physics-based Simulations.-
19. Linearization and Nonlinear Model Reduction for the Model Predictive
Control of Nonlinear Structure Vibrations.-
20. Uncertainty Quantification
for Deep Learning-Based Automatic Crack Detection in the Underwater
Environment.-
21. Model Class and Parameter Selection for Bayesian Filtering
with Application to a Modular Active Spring-Damper System: Round-Robin
Challenge.-
22. Implementation of Bayesian Model Updating in Five-Story
Building using Different Observations.