Flynn / Platz / Neal | Model Validation and Uncertainty Quantification, Volume 3 | Buch | 978-87-438-0148-1 | www.sack.de

Buch, Englisch, 140 Seiten, Format (B × H): 210 mm x 280 mm

Flynn / Platz / Neal

Model Validation and Uncertainty Quantification, Volume 3

Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics 2025
1. Auflage 2026
ISBN: 978-87-438-0148-1
Verlag: River Publishers

Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics 2025

Buch, Englisch, 140 Seiten, Format (B × H): 210 mm x 280 mm

ISBN: 978-87-438-0148-1
Verlag: River Publishers


Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics, 2025, the third volume of twelve 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 Form Uncertainty: Round Robin Challenge UQVI (Uncertainty Quantification in Vibration Isolation)

- Uncertainty Quantification in Sensing Systems

- Bayesian and Other Methods for Structural Health Monitoring

- Surrogate Modeling

- Uncertainty Quantification in Digital Twin and Data-Driven Models

- Uncertainty Quantification and Propagation in Structural Dynamics

Flynn / Platz / Neal Model Validation and Uncertainty Quantification, Volume 3 jetzt bestellen!

Zielgruppe


Academic

Weitere Infos & Material


1 Acoustic Characterization of Solid Periodic Ring Structures in Woodwind Musical Instruments

Alessandro Annessi, Alessia Caputo, Milena Martarelli, Daniele Eugenio Lucchetta, Davide Mencarelli, and Paolo Castellini

2 Multi-Scale, Multi-Mode Damage Simulation for Miter Gates

Guofeng Qian, Haiwei Lin, Zhen Hu, and Michael D. Todd

3 Likelihood-Free Bayesian Inference for Localized Corrosion in Miter Gates

Guofeng Qian, Jice Zeng, Zhen Hu, and Michael D. Todd

4 A Methodology to Manage the Complexity of a Nonlinear Multibody Digital Twin in Railway Applications

Betty Auzanneau, Emeline Sadoulet-Reboul, Emmanuel Foltˆete, Guillaume Ham-Livet, and Scott Cogan

5 Degradation Model Correction of Miter Gates Through Synthesis of Hybrid Modeling with Recursive Bayesian State Estimation

Zhao Zhao, Yichao Zeng, Michael D. Todd, and Zhen Hu

6 Uncertainty Quantification of Fatigue Damage from Random Vibration and Sine-sweep

Arup Maji

7 A Probabilistic Reasoner Based on Bayes Risk for Damage Detection in Structural Systems

David Najera-Flores, Justin Jacobs, D. Dane Quinn, Michael D. Todd, and Anthony Garland

8 Model-Form Uncertainty in Predicting Electromechanical Passive and Active Damping Forces for a One-Mass Oscillator

Murali Krishnan Mohan Kumar and Roland Platz

9 Influence of Sensor Uncertainty on Frequency Response Functions of Hydraulic Accumulators

Oscar L. Lefemmine, Manuel Rexer, Maximilian M. G. Kuhr, and Peter F. Pelz

10 Isolating and Quantifying Uncertainties in the Vibration Isolation Round-Robin Challenge

Rileigh Bandy, Rachel Washington, Rebecca Morrison, and Teresa Portone

11 Statistical Framework for Deep Learning Model Comparison and Evaluation

Samuel Myren, Nidhi Parikh, Rosalyn Rael, Garrison Flynn, Dave Higdon, and Emily Casleton

12 Uncertainty Quantification in Railway Bridge Dynamics via on-board Accelerations Collected from Traversing Trains

Charikleia Stoura, Szymon Gre´s, and Eleni Chatzi

13 Optimal Experiment Design for Large-Scale Inverse Problems with Enhanced Robustness to Model Uncertainties

Wilkins Aquino, Mark Chen, Drew Kouri, Kathryn Maupin, Joshua Mullins, Chandler Smith, Timothy Walsh, and Rebekah White

14 Sigma-point Bootstrapping for Uncertainty Quantification in Subspace Identification for Non-Gaussian Estimates

Szymon Gre´s, Charikleia Stoura, Vasilis Dertimanis, and Eleni Chatzi

15 Vehicle Load Identification of Bridges Using Acceleration Response Data

Iman Dabbaghchian and Shamim Pakzad

16 A Surrogate Modelling Approach Based on Anti-Resonance Properties for FRF Prediction of Uncertain Dynamical Systems

Enora Denimal Goy


Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouellette



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