1st Edition

Model Validation and Uncertainty Quantification, Volume 3 Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022

Edited By Zhu Mao Copyright 2023
151 Pages
by River Publishers

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, 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 1 On Model Validation and Bifurcating Systems: An Experimental Case Study 2 A Comparative Assessment of Online and Offline Bayesian Estimation of Deterioration Model Parameters 3 Finite Element Model Updating Using a Shuffled Complex Evolution Markov Chain Algorithm 4 On the Dynamic Virtualization of a 3D-Printed Scaled Wind Turbine Blade 5 Wavelet Energy Features for Damage Identification: Sensitivity to Measurement Uncertainties 6 Advanced Meta-Modelling Techniques and Sensitivity Analysis for Rotordynamics in an Uncertain Context 7 Variational Filter for Predictive Modeling of Structural Systems 8 Optimal Sensor Configuration Design for Virtual Sensing in a Wind Turbine Blade Using Information Theory Tulay Ercan, Konstantinos Tatsis, Victor Flores Terrazas, Eleni Chatzi, and Costas Papadimitriou 9 Probability Bounds Analysis Applied to Multi-purpose Crew Vehicle Nonlinearity 10 A Physics-Based Reduction with Monitoring Data Assimilation for Adaptive Representations in Structural Systems 11 Comprehensive Testing Environment to Evaluate Approaches in Uncertainty Quantification for Passive and Active Vibration Isolation 12 An Optimal Sensor Network Design Framework for Structural Health Monitoring Using Value of Information 13 Uncertainty Effects on Bike Spoke Wheel Modal Behaviour 14 Probabilistic Assessment of Footfall Vibration 15 Digital Twinning of Modeling for Offshore Wind Turbine Drivetrain Monitoring: A Numerical Study Their Dependence on Pedestrian Loads 17 Combining Simulation and Experiment for Acoustic-Load Identification.

Biography

Zhu Mao, Department of Mechanical and Materials Engineering, Worcester Polytechnic Institute, Worcester, USA.