Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, 2014

This third volume of eight from the IMAC - XXXII 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 Structural Dynamics, including papers on: Linear Systems Substructure Modelling Adaptive Structures Experimental Techniques Analytical Methods Damage Detection Damping of Materials & Members Modal Parameter Identification Modal Testing Methods System Identification Active Control Modal Parameter Estimation Processing Modal Data.

Table of Contents:
1 Calibration of System Parameters Under Model Uncertainty 2 On the Aggregation and Extrapolation of Uncertainty from Component to System Level Models 3 Validation of Strongly Coupled Models: A Framework for Resource Allocation 4 Fatigue Monitoring in Metallic Structures using Vibration Measurements 5 Uncertainty propagation in Experimental Modal Analysis 6 Quantification of Prediction Bounds Caused by Model Form Uncertainty 7 Composite Fuselage Impact Testing and Simulation: A Model Calibration Exercise 8 Noise Sensitivity Evaluation of Autoregressive Features Extracted from Structure Vibration 9 Uncertainty Quantification and Integration in Multi-level Problems 10 Reliability Quantification of High-Speed Naval Vessels Based on SHM Data 11 Structural Identification Using Response Measurements Under Base Excitation12 Bayesian FE Model Updating in the Presence of Modeling Errors 13 Maintenance Planning Under Uncertainties Using a Continuous-State POMDP Framework 14 Achieving Robust Design through Statistical Effect Screening 15 Automated Modal Parameter Extraction and Statistical Analysis of the New Carquinez Bridge Response to Ambient Excitations 16 Evaluation of a Time Reversal Method with Dynamic Time Warping Matching Function for Human Fall Detection Using Structural Vibrations 17 Uncertainty Quantification of Identified Modal Parameters Using the Fisher Information Criterion 18 Modal Parameter Uncertainty Quantification Using PCR Implementation with SMIT 19 Excitation Related Uncertainty in Ambient Vibration Testing of Bridges 20 Experiment-Based Validation and Uncertainty Quantification of Coupled Multi-Scale Plasticity Models 21 Model Calibration and Uncertainty of A600Wind Turbine Blades 22 Validation Assessment for Joint Problem Using an Energy Dissipation Model 23 A Bayesian Damage Prognosis Approach Applied to Bearing Failure 24 Sensitivity Analysis of Beams Controlled by Shunted Piezoelectric Transducers 25 A Principal Component Analysis (PCA) Decomposition Based Validation Metric for Use with Full Field Measurement Situations 26 FEM Calibration with FRF Damping Equalization 27 Evaluating Initial Model for Dynamic Model Updating: Criteria and Application 28 Evaluating Convergence of Reduced Order Models Using Nonlinear Normal Modes 29 Approximate Bayesian Computation for Finite Element Model Updating 30 An Efficient Method for the Quantification of the Frequency Domain Statistical Properties of Short Response Time Series of Dynamic Systems 31 Quantifying Uncertainty in Modal Parameters Estimated Using Higher Order Time Domain Algorithms 32 Testing and Model Correlation of a Plexiplate with a Water Boundary Condition 33 Detection of Stress-Stiffening Effect on Automotive Components 34 Approach to Evaluate Uncertainty in Passive and Active Vibration Reduction 35 Project-Oriented Validation on a Cantilever Beam Under Vibration Active Control 36 Inferring Structural Variability Using Modal Analysis in a Bayesian Framework 37 Including SN-Curve Uncertainty in Fatigue Reliability Analyses of Wind Turbines 38 Robust Design of Notching Profiles Under Epistemic Model Uncertainties 39 Optimal Selection of Calibration and Validation Test Samples Under Uncertainty 40 Uncertainty Quantification in Experimental Structural Dynamics Identification of Composite Material Structures 41 Analysis of Numerical Errors in Strongly Coupled Numerical Models 42 Robust Expansion of Experimental Mode Shapes Under Epistemic Uncertainties.

About the Author :
H. Sezer Atamturktur, Civil Engineering Department, Clemson University, Clemson, USA. Babak Moaveni, Department of Civil and Envt. Eng., Tufts University, Medford, USA. Costas Papadimitriou, Department of Mech. & Industrial Eng., University of Thessaly, Volos, Greece. Tyler Schoenherr, Sandia National Laboratories, Albuquerque, USA.