Model Validation and Uncertainty Quantification, Vol. 3
Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics 2025
Conference Proceedings of the Society for Experimental Mechanics Series
Editor: Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouellette
ISBN: 9788743801481 e-ISBN: 9788743801603
Available: July 2025
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:
Article 1: Acoustic Characterization of Solid Periodic Ring Structures in
Woodwind Musical Instruments
by Alessandro Annessi, Alessia Caputo, Milena Martarelli, Daniele Eugenio Lucchetta, Davide Mencarelli, Paolo Castellini
https://doi.org/10.13052/97887-438-0148-1_1
Article 2: Multi-Scale, Multi-Mode Damage Simulation for Miter Gates
by Guofeng Qian, Haiwei Lin, Zhen Hu, Michael D. Todd
https://doi.org/10.13052/97887-438-0148-1_2
Article 3: Likelihood-Free Bayesian Inference for Localized Corrosion
in Miter Gates
by Guofeng Qian, Jice Zeng, Zhen Hu, Michael D. Todd
https://doi.org/10.13052/97887-438-0148-1_3
Article 4: A Methodology to Manage the Complexity of a Nonlinear Multi-
body Digital Twin in Railway Applications
by Betty Auzanneau, Emeline Sadoulet-Reboul, Emmanuel Foltete, Guillaume Ham-Livet, Scott Cogan
https://doi.org/10.13052/97887-438-0148-1_4
Article 5: Degradation Model Correction of Miter Gates Through
Synthesis of Hybrid Modeling with Recursive Bayesian State
Estimation
by Zhao Zhao, Yichao Zeng, Michael D. Todd, Zhen Hu
https://doi.org/10.13052/97887-438-0148-1_5
Article 7: A Probabilistic Reasoner Based on Bayes Risk for Damage
Detection in Structural Systems
by David Najera-Flores, Justin Jacobs, D. Dane Quinn, Michael D. Todd, Anthony Garland
https://doi.org/10.13052/97887-438-0148-1_7
Article 8: Model-Form Uncertainty in Predicting Electromechanical Pas-
sive and Active Damping Forces for a One-Mass Oscillator
by Murali Krishnan Mohan Kumar , Roland Platz
https://doi.org/10.13052/97887-438-0148-1_8
Article 9: Influence of Sensor Uncertainty on Frequency Response Func-
tions of Hydraulic Accumulators
by Oscar L. Lefemmine, Manuel Rexer, Maximilian M. G. Kuhr, Peter F. Pelz
https://doi.org/10.13052/97887-438-0148-1_9
Article 10: Isolating and Quantifying Uncertainties in the Vibration Iso-
lation Round-Robin Challenge
by Rileigh Bandy, Rachel Washington, Rebecca Morrison, Teresa Portone
https://doi.org/10.13052/97887-438-0148-1_10
Article 11: Statistical Framework for Deep Learning Model Comparison
and Evaluation
by Samuel Myren, Nidhi Parikh, Rosalyn Rael, Garrison Flynn, Dave Higdon, Emily Casleton
https://doi.org/10.13052/97887-438-0148-1_11
Article 12: Uncertainty Quantification in Railway Bridge Dynamics via
on-board Accelerations Collected from Traversing Trains
by Charikleia Stoura, Szymon Gres, Eleni Chatzi
https://doi.org/10.13052/97887-438-0148-1_12
Article 13: Optimal Experiment Design for Large-Scale Inverse Problems
with Enhanced Robustness to Model Uncertainties
by Wilkins Aquino, Mark Chen, Drew Kouri, Kathryn Maupin, Joshua Mullins, Chandler Smith, Timothy Walsh, Rebekah White
https://doi.org/10.13052/97887-438-0148-1_13
Article 14: Sigma-point Bootstrapping for Uncertainty Quantification in
Subspace Identification for Non-Gaussian Estimates
by Szymon Gres, Charikleia Stoura, Vasilis Dertimanis, Eleni Chatzi
https://doi.org/10.13052/97887-438-0148-1_14
Article 15: Vehicle Load Identification of Bridges Using Acceleration
Response Data
by Iman Dabbaghchian , Shamim Pakzad
https://doi.org/10.13052/97887-438-0148-1_15