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

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

07.11.2024

Abbildungen

VIII, 146 p. 88 illus., 73 illus. in color.

Herausgeber

Roland Platz + weitere

Verlag

Springer

Seitenzahl

146

Maße (L/B/H)

28,5/21,5/1,5 cm

Gewicht

651 g

Sprache

Englisch

ISBN

978-3-031-68892-8

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

07.11.2024

Abbildungen

VIII, 146 p. 88 illus., 73 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

146

Maße (L/B/H)

28,5/21,5/1,5 cm

Gewicht

651 g

Sprache

Englisch

ISBN

978-3-031-68892-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Model Validation and Uncertainty Quantification, Vol. 3

  • 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.