1st Edition

Model Validation and Uncertainty Quantification, Volume 3 Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019

Edited By Robert Barthorpe Copyright 2020
288 Pages
by River Publishers

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight 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 Nondestructive Consolidation Assessment of Historical Camorcanna Ceilings by Scanning Laser Doppler Vibrometry 2 The Need for Credibility Guidance for Analyses Quantifying Margin and Uncertainty 3 Failure Behaviour of Composites Under Both Vibration Loading and Environmental Conditions 4 Verification and Validation for a Finite Element Model of a Hyperloop Pod Space Frame 5 Investigating Nonlinearities in a Demo Aircraft Structure Under Sine Excitation 6 Sensor Placement for Multi-Fidelity Dynamics Model Calibration 7 Application of Cumulative Prospect Theory to Optimal Inspection Decision-Making for Ship Structures 8 Establishing an RMS von Mises Stress Error Bound for Random Vibration Analysis 9 A Neural Network Surrogate Model for Structural Health Monitoring of Miter Gates in Navigation Locks 10 Model Validation Strategy and Estimation of Response Uncertainty for a Bolted Structure with Model-Form Errors 11 Characteristic Analysis of Modified Dolly Test: A Sensitivity Study of Initial Conditions on Rollover Outcomes 12 Input Estimation of a Full-Scale Concrete Frame Structure with Experimental Measurements 13 Bayesian Estimation of Acoustic Emission Arrival Times for Source Localization 14 Quantification and Evaluation of Parameter and Model Uncertainty for Passive and Active Vibration Isolation 15 Bayesian Model Updating of a Five-Story Building Using Zero-Variance Sampling Method 16 Input Estimation and Dimension Reduction for Material Models 17 Augmented Sequential Bayesian Filtering for Parameter and Modeling Error Estimation of Linear Dynamic Systems 18 On-Board Monitoring of Rail Roughness via Axle Box Accelerations of Revenue Trains with Uncertain Dynamics 19 Bayesian Identification of a Nonlinear Energy Sink Device: Method Comparison 20 Calibration of a Large Nonlinear Finite Element Model of a Highway Bridge with Many Uncertain Parameters 21 Deep Unsupervised Learning for Condition Monitoring and Prediction of High Dimensional Data with Application on Windfarm SCADA Data 22 Influence of Furniture on the Modal Properties of Wooden Floors 23 Optimal Sensor Placement for Response Reconstruction in Structural Dynamics 24 Finite Element Model Updating Accounting for Modeling Uncertainty 25 Model-Based Decision Support Methods Applied to the Conservation of Musical Instruments: Application to an Antique Cello 26 Optimal Sensor Placement for Response Predictions Using Local and Global Methods 27 Incorporating Uncertainty in the Physical Substructure During Hybrid Substructuring 28 Applying Uncertainty Quantification to Structural Systems: Parameter Reduction for Evaluating Model Complexity 29 Non-unique Estimates in Material Parameter Identification of Nonlinear FE Models Governed by Multiaxial Material Models Using Unscented Kalman Filtering 30 On Key Technologies for Realising Digital Twins for Structural Dynamics Applications D. J. Wagg, P. Gardner, R. J. Barthorpe, and K. Worden 31 Hygro-mechanical Modelling of Wood and Glutin-based Bond Lines of Wooden Cultural Heritage Objects 32 Modelling of Sympathetic String Vibrations in the Clavichord Using a Modal Udwadia-Kalaba Formulation 33 Modeling and Stochastic Dynamic Analysis of a Piezoelectric Shunted Rotating Beam 34 On Digital Twins, Mirrors and Virtualisations 35 Applications of Reduced Order and Surrogate Modeling in Structural Dynamics.

Biography

Robert Barthorpe, Department of Mechanical Engineering, University of Sheffield, UK.