Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 (Conference ... Society for Experimental Mechanics Series)

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 Uncertainty Quantification, including papers on: Inverse Problems and Uncertainty Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools Preface Contents Effect of Inspection Errors in Optimal Maintenance Decisions for Deteriorating Quoin Blocks in Miter Gates 1 Introduction 2 Reported OCA Transition Matrix to True OCA Transition Matrix 3 Framework and Results 4 Conclusion References Model Uncertainty Quantification and Updating of a Boundary Condition Model of a Miter Gate Using Strain Measurements 1 Introduction 2 Multilevel Simulation Models 3 Modularized Bayesian Calibration of the Multilevel Model 4 Results 5 Conclusions References Fusion of Test and Analysis: Artemis I Booster to Mobile Launcher Interface Validation 1 Introduction 2 Booster Pull Test Overview 3 Historical Perspective 4 Understanding Booster AFT Skirt to ML VSP Interface Flexibility 5 Understanding Booster to ML Coupling 6 Simulating the Booster Pull Test 7 Booster Dynamic Excitation 8 Conclusion References Quantifying the Benefits of Structural Health Monitoring Using Value of Information and Decision Risk Modeling 1 Introduction 2 Miter Gate and Decision-Making Framework 3 Preposterior Decision Analysis and Expected Value of Information 4 A Simple Example of Preposterior Decision Analysis 5 Conclusion and Ongoing Investigation References Error Localization Examples: Looking for a Needle in a Haystack 1 Introduction 2 Model Calibration Process 3 Error Localization Examples 3.1 Cantilever Beam 3.2 Cantilever Tube 3.3 Isogrid Panel 4 Conclusions References WaveImage Bridges the Gap Between Measurement and Simulation. An Application Example of How to Create a Modal Digital Twin Using FE Model Updating Nomenclature 1 Introduction 2 Theory 3 Measurement Setup 4 Analysis 5 Conclusion References Virtual Sensing for Wind Turbine Blade Full Field Response Estimation in Operational Modal Analysis 1 Introduction 2 Pull and Release Tests for Wind Turbine Blades Operational Modal Analysis 3 Response-Input Estimation During Pull and Release Tests on the Research Blade 4 Conclusions References Dynamics of a Nonlinear Oscillator: Dependencies on Extrinsic Conditions and Model Form Uncertainty 1 Introduction 2 Modeling 2.1 Manufacturing Process Uncertainty 2.2 Assembly Condition Variability 2.3 Environmental Uncertainty 2.4 Computational Implementation 3 Analysis 3.1 Material Parameter Uncertainty 3.2 Preload Uncertainty 3.3 Excitation Uncertainty 4 Conclusion References Uncertainty Quantification and Effectiveness of Cantilevered Pipeline Conveying Fluid with Constraints 1 Introduction 2 Modeling 3 Analysis 4 Conclusions References Playability of a 1734 Guarneri Cello: Info-Gap Robustness Analysis of Uncertainty 1 Introduction 2 Analysis 3 Results 4 Conclusion References Uncertainty Quantification of Axially Loaded Beams with Boundary Condition Imperfections 1 Introduction 2 System's Modeling 3 System's Sensitivity to Input Parameter Uncertainties 4 Conclusions References Parameter Uncertainty Effects on the Buckling Characteristics of Cylindrical Structures in a Thermal Environment 1 Introduction 2 Thermal Load Representations and System's Modeling 3 Results and Discussion 4 Conclusions References An Initial Concept for an Error-Based Digital Twin Framework for Dynamics Applications 1 Introduction 2 An Error-Based Mathematical Framework 2.1 Initial Framework 2.2 Parameter Updating Procedure 2.3 Temporal Evolution 3 Single Degree-of-Freedom Oscillator 4 Three Storey Building 5 Discussion 6 Conclusion References Hierarchical Bayesian Model Updating for Nonlinear Structures Using Response Time Histories 1 Introduction 2 Methodology 3 Application References SLS Integrated Modal Test Uncertainty Quantification Using the Hybrid Parametric Variation Method Acronyms 1 Introduction 2 Theory 2.1 Randomization of Component FI Eigenvalues Using Gaussian Process Models 2.2 Mixed-Boundary Approach for Assigning HCB Eigenvalue Dispersions 3 Hurty/Craig-Bampton Uncertainty Models 3.1 Mass Simulator for Orion 3.2 Interim Cryogenic Propulsion Stage 3.3 Core Stage 4 IMT UQ Analysis 5 Conclusion References A Forward Model Driven Structural Health Monitoring Paradigm: Damage Detection 1 Introduction 2 Methodology 3 Case Study 3.1 Model Description 3.2 Experimental Procedure 3.3 Feature Selection 3.4 Classifier Training 3.5 Classification Results 4 Conclusion Reference Uncertainty Quantification of Inducer Eigenvalues Using Conditional Assessment of Models and Modal Test of Simpler Systems Nomenclature 1 Introduction 2 Literature Survey 3 Conditional Covariance 4 Application of Technique to Pathfinder Case 5 Application of Technique to Inducer 6 Conditional Variance Results for FS Inducer 0ND Mode 7 Conclusion and Future Work References Application of Speaker Recognition x-Vectors to Structural Health Monitoring 1 Introduction 2 Data Preparation 2.1 Data Resources 2.2 Training and Test Data 2.3 Local Damage Labeling 3 Analysis 3.1 Data Augmentation 3.2 Feature Selection 3.3 Time-Delay Neural Network Architecture 3.4 PLDA Classification 3.5 Local Damage Identification 3.6 Validation on LANL Datasets 4 Results 5 Conclusion References Equation Discovery Using an Efficient Variational Bayesian Approach with Spike-and-Slab Priors 1 Introduction 2 Linear Regression Model with Spike-and-Slab Prior 3 Variational Bayesian Inference for Variable Selection 3.1 Variational Bayes 3.2 Initialisation and Convergence 3.3 Bayesian Variable Selection 4 Numerical Studies 4.1 Performance Comparison Using Monte Carlo Simulations 5 Conclusions References Bayesian Finite Element Model Updating Using an Improved Evolution Markov Chain Algorithm 1 Introduction 2 Bayesian Inference 3 Markov Chain Monte Carlo Algorithms 3.1 Metropolis-Hastings (M-H) Algorithm 3.2 Standard DE-MC Algorithm 3.3 Standard DE-MCS Algorithm 4 Application: F-shaped Structure 5 Conclusion References Using Dead and Thermal Loads to Capture the Behavioral Changes of a Cable-Stayed Bridge 1 Introduction 2 Background 3 Analysis 4 Conclusion References Vibration-Based Damage Detection Framework of Large-Scale Structural Systems 1 Introduction 2 Transmittance Function Theoretical Basis 3 Transmittance Function Based Damage Detection 4 Transmittance Based Finite Element Model Updating Formulation 5 Experimental Application and FE Model Updating 6 Damage Detection 7 Conclusion References