Model Validation and Uncertainty Quantification, Vol. 3
Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024
Published on 7. August 2025
147 pages
978-87-438-0652-3 (ISBN)
Description
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, 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:
Uncertainty Quantification in Dynamics
Fusion of Test and Analysis
Model Form Uncertainty: Round Robin Challenge UQVI (Uncertainty Quantification in Vibration Isolation)
Recursive Bayesian System Identification
Virtual Sensing & Realtime Monitoring
Surrogate Modeling and Reduced Order Models.
More details
Edition
Digital original
Language
English
Place of publication
Gistrup
Denmark
Edition type
Digital original
File size
14,92 MB
ISBN-13
978-87-438-0652-3 (9788743806523)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Roland Platz, Kunststoffcampus Bayern, Technologiezentrum Weißenburg am, Weißenburg i. Bay., Germany. Garrison Flynn, Los Alamos National Laboratory Dpt, Los Alamos National Laboratory, NEW YORK, USA. Kyle Neal, Sandia National Laboratories Dpt, Sandia National Laboratories, Albuquerque, USA. Scott Ouellette, Los Alamos National Laboratory Dpt, Los Alamos National Laboratory, White Rock, USA.
Content
Preface, Time-Normalized Unitless Metrics for Quantifying the Value of an SHM System Throughout the Structure's Life Cycle, A Structured Knowledge Graph for a Geometric and Behavioral Digital Twin in the Context of Modal Testing, Propagation of Systematic Sensor Errors into the Frequency Domain: A MATLAB Software Framework, Tutorial and Application of Bayesian Statistics on Assessing Model Form Uncertainty in Vibration Isolation, Physics-Informed Information Field Theory Approach to Dynamical System Parameter and State Estimation in Path Space, Efficient Frequency-Based Modeling of Rotating Tire Dynamics for NVH Applications, Population-Based Mode Shape Identification of Structures via Graph Neural Networks, Stochastic Model Correction for the Adaptive Vibration Isolation Round-Robin Challenge, Spectral Model Fusion for Input Identification, Multiscale Corrosion Damage Diagnostics and Prognostics for a Miter Gate, Analyzing the Influential Factors on ICaF Performance in Bayesian Model Calibration and Forecasting, Xinyue Xu, Yishuang Wang, Roland Platz, and Sez Atamturktur Identification of Railway Bridge Modal Properties via Acceleration Data from Traversing Trains, Propagation of Geometric Uncertainties Through the Analytic Derivative of the System Matrices, Physics-Informed Model Order Reduction via Generalized Characteristic Value Decomposition, Tribo-Dynamics Digital Twins (TDDTs): Prediction of Friction and Frequency Response Function (FRF) in a Dry Sliding Tribological Contact, Dynamic State Estimation via Likelihood-Free Inference Based on Conditional Invertible Neural Networks, Bayesian Decision-Theoretic Model Selection for Monitored Systems, An Elephant in the Room: Forecasting Using Validated Physics-Based Simulations, Linearization and Nonlinear Model Reduction for the Model Predictive Control of Nonlinear Structure Vibrations, Uncertainty Quantification for Deep Learning-Based Automatic Crack Detection in the Underwater Environment, Model Class and Parameter Selection for Bayesian Filtering with Application to a Modular Active Spring-Damper System: Round-Robin Challenge, Implementation of Bayesian Model Updating in Five-Story Building Using Different Observations.
