Model Validation and Uncertainty Quantification, Vol. 3

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

Model Validation and Uncertainty Quantification, Vol. 3
Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics 2025

Editor: Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouellette

ISBN: 9788743801481 e-ISBN: 9788743801603

Available: August 2025

doi: https://doi.org/10.13052/97887-438-0148-1


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
SLDV, Musical Instruments, Acoustics, Sensitivity analysis, parametric, data-driven

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


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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


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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


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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


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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


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