1st Edition

Model Validation and Uncertainty Quantification, Volume 3 Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021

Edited By Zhu Mao Copyright 2022
187 Pages
by River Publishers

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the third volume of nine 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... Read more
Preface, Effect of Inspection Errors in Optimal Maintenance Decisions for Deteriorating Quoin Blocks in Miter Gates, Model Uncertainty Quantification and Updating of a Boundary Condition Model of a Miter Gate, Using Strain Measurements, Fusion of Test and Analysis: Artemis I Booster to Mobile Launcher Interface Validation, Quantifying the Benefits of Structural Health Monitoring Using Value of Information and Decision Risk Modeling, Error Localization Examples: Looking for a Needle in a Haystack, WaveImage Bridges the Gap Between Measurement and Simulation. An Application Example of How to Create a Modal Digital Twin Using FE Model Updating, Virtual Sensing for Wind Turbine Blade Full Field Response Estimation in Operational Modal Analysis, Dynamics of a Nonlinear Oscillator: Dependencies on Extrinsic Conditions and Model Form Uncertainty, Uncertainty Quantification and Effectiveness of Cantilevered Pipeline Conveying Fluid with Constraints, Playability of a 1734 Guarneri Cello: Info-Gap Robustness Analysis of Uncertainty, Uncertainty Quantification of Axially Loaded Beams with Boundary Condition Imperfections, Parameter Uncertainty Effects on the Buckling Characteristics of Cylindrical Structures in a Thermal Environment, An Initial Concept for an Error-Based Digital Twin Framework for Dynamics Applications, Hierarchical Bayesian Model Updating for Nonlinear Structures Using Response Time Histories, SLS Integrated Modal Test Uncertainty Quantification Using the Hybrid Parametric Variation Method, A Forward Model Driven Structural Health Monitoring Paradigm: Damage Detection, Uncertainty Quantification of Inducer Eigenvalues Using Conditional Assessment of Models and Modal Test of Simpler Systems, Application of Speaker Recognition x-Vectors to Structural Health Monitoring, Equation Discovery Using an Efficient Variational Bayesian Approach with Spike-and-Slab Priors, Bayesian Finite Element Model Updating Using an Improved Evolution Markov Chain Algorithm, Using Dead and Thermal Loads to Capture the Behavioral Changes of a Cable-Stayed Bridge, Vibration-Based Damage Detection Framework of Large-Scale Structural Systems.

Biography

Zhu Mao, Department of Mechanical Engineering, University of Massachusetts, Lowell, USA.