Buch, Englisch, 128 Seiten, Format (B × H): 210 mm x 280 mm
Proceedings of the 44th IMAC, A Conference and Exposition on Structural Dynamics 2026
Buch, Englisch, 128 Seiten, Format (B × H): 210 mm x 280 mm
ISBN: 978-87-438-1442-9
Verlag: River Publishers
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 44th IMAC, A Conference and Exposition on Structural Dynamics, 2026, 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:
- Model Validation for Digital Twinning
- Challenges on Model Form Uncertainty
- Surrogate Modeling
- Uncertainty Quantification and Propagation in Structural Dynamics
- Bayesian Methods
- MVUQ for Complex Systems
Zielgruppe
Academic, Postgraduate, and Professional Practice & Development
Autoren/Hrsg.
Weitere Infos & Material
1 Intelligent Digital Twin Assembly Leveraging Bayesian Classification 2 Bayesian Finite Element Model Updating in the Modal Domain via Integration of Normalizing Flows with Markov Chain Monte Carlo 3 Correlation & Orthogonality – What Do the Numbers Mean? – Use, Misuse and Confusion 4 Anti-Resonance-Based Surrogate Modelling for Stochastic FRF Prediction of Finite Element Models 5 Reliability Analysis of Nonlinear Dynamic Systems via Importance Sampling and Surrogate Modeling 6 Adaptive Reduced Order Model Selection in Engineering Decision Support 7 Overcoming Data Scarcity for Load Identification and Full-Field Response Reconstruction 8 Digital Twin-Based Computer Vision Method for Robust Structural Vibration Estimation in the Underwater Environment 9 Evolution of Modal Characteristics and Model Comparison for a 10-Story Cold-Formed Steel Framed Building under Seismic Excitation 10 Modal Identification of Rooftop Mechanical Equipment with Different Attachment Designs on a Full-Scale Ten-Story Shake Table-Tested Building 11 From Data to Decision: Evaluating the Dangers and Benefits of Reliance on a Flexible Discrepancy Term in Model Calibration 12 System Identification of a 10-story Cold-Formed Steel Building: Systematic Study Considering Sensor Distribution and Changes in Ambient Conditions 13 Automated Correlation of Simulations and Experiments for Digital Twin Development
