Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020, 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 Uncertainty Quantification, including papers on: Uncertainty Quantification in Material Models, Uncertainty Propagation in Structural Dynamics, Practical Applications of MVUQ, Advances in Model Validation & Uncertainty, Quantification: Model Updating Model Validation & Uncertainty Quantification, Industrial Applications, Controlling Uncertainty, Uncertainty in Early Stage Design, Modeling of Musical Instruments, Overview of Model Validation and Uncertainty.

Table of Contents:
Preface 1 Variational Coupled Loads Analysis Using the Hybrid Parametric Variation Method 2 Bayesian Uncertainty Quantification in the Development of a New Vibration Absorber Technology 3 Comparison of Complexity Measures for Structural Health Monitoring 4 Selection of an Adequate Model of a Piezo-Elastic Support for Structural Control in a Beam Truss Structure 5 Impact Load Identification for the DROPBEAR Setup Using a Finite Input Covariance (FIC) Estimator 6 Real-Time Digital Twin Updating Strategy Based on Structural Health Monitoring Systems 7 On the Fusion of Test and Analysis 8 Design of an Actuation Controller for Physical Substructures in Stochastic Real-Time Hybrid Simulations 9 Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process 10 Axle Box Accelerometer Signal Identification and Modelling 11 Kalman-Based Virtual Sensing for Improvement of Service Response Replication in Environmental Tests 12 Virtual Sensing of Wheel Position in Ground-Steering Systems for Aircraft Using Digital Twins 13 Assessing Model Form Uncertainty in Fracture Models Using Digital Image Correlation 14 Identification of Lack of Knowledge Using Analytical Redundancy Applied to Structural Dynamic Systems 15 A Structural Fatigue Monitoring Concept for Wind Turbines by Means of Digital Twins 16 Damage Identification of Structures Through Machine Learning Techniques with Updated Finite Element Models and Experimental Validations 17 Modal Analyses and Meta-Models for Fatigue Assessment of Automotive Steel Wheels 18 Towards the Development of a Digital Twin for Structural Dynamics Applications 19 An Improved Optimal Sensor Placement Strategy for Kalman-Based Multiple-Input Estimation 20 Towards Population-Based Structural Health Monitoring, Part IV: Heterogeneous Populations, Transfer and Mapping 21 Feasibility Study of Using Low-Cost Measurement Devices for System Identification Using Bayesian Approaches 22 Kernelised Bayesian Transfer Learning for Population-Based Structural Health Monitoring 23 Predicting System Response at Unmeasured Locations Using a Laboratory Pre-Test 24 Robust Estimation of Truncation-Induced Numerical Uncertainty 25 Fatigue Crack Growth Diagnosis and Prognosis for Damage-Adaptive Operation of Mechanical Systems 26 An Evolutionary Approach to Learning Neural Networks for Structural Health Monitoring 27 Bayesian Solutions to State-Space Structural Identification 28 Analyzing Propagation of Model Form Uncertainty for Different Suspension Strut Models 29 Determining Interdependencies and Causation of Vibration in Aero Engines Using Multiscale Cross-Correlation Analysis 30 Dynamic Data Driven Modeling of Aero Engine Response 31 Nonlinear Model Updating Using Recursive and Batch Bayesian Methods 32 Towards Population-Based Structural Health Monitoring, Part I: Homogeneous Populations and Forms 33 A Detailed Assessment of Model Form Uncertainty in a Load-Carrying Truss Structure 34 Recursive Nonlinear Identification of a Negative Stiffness Device for Seismic Protection of Structures with Geometric and Material Nonlinearities 35 Adequate Mathematical Beam-Column Model for Active Buckling Control in a Tetrahedron Truss Structure 36 Site Characterization Through Hierarchical Bayesian Model Updating Using Dispersion and H/V Data 37 BAYESIAN Inference Based Parameter Calibration of a Mechanical Load-Bearing Structure’s Mathematical Model 38 Uncertainty Propagation in a Hybrid Data-Driven and Physics-Based Submodeling Method for Refined Response Estimation 39 Adaptive Process and Measurement Noise Identification for Recursive Bayesian Estimation 40 Effective Learning of Post-Seismic Building Damage with Sparse Observations 41 Efficient Bayesian Inference of Miter Gates Using High-Fidelity Models 42 Two-Stage Hierarchical Bayesian Framework for Finite Element Model Updating 43 Bayesian Nonlinear Finite Element Model Updating of a Full-Scale Bridge-Column Using Sequential Monte Carlo 44 Optimal Input Locations for Stiffness Parameter Identification 45 Modal Identification and Damage Detection of Railway Bridges Using Time-Varying Modes Identified from Train Induced Vibrations 46 Test-Analysis Modal Correlation of Rocket Engine Structures in Liquid Hydrogen – Phase II 47 An Output-Only Bayesian Identification Approach for Nonlinear Structural and Mechanical Systems.

About the Author :
Zhu Mao, Mechanical Engineering Department, Dandeneau Hall 211, University of Massachusetts, Lowell, USA.