Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, 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
Chapter
1. Sparse Deconvolution for the Inverse Problem of
Multiple-impact Force Identification.
Chapter
2. Validation of Container
System Component Models for Drops.
Chapter
3. Validation of Container System
Finite Element Models for IAEA Compliance.
Chapter
4. Nonlinear Squeezing
Wavelet Transform for Rotor Rub-impact Fault Detection.
Chapter
5.
Experimental Credibility and its Role in Model Validation and Decision
Making.
Chapter
6. An Experimental Case Study for Nonlinear Model
Validation: Effect of Nonlinearities in an Aero-Engine Structure.
Chapter
7.
Finite Element Model Updating of a Connecting Structure Based on Strain.-
Chapter
8. Nonlinearities of an Aircraft Piccolo Tube: Identification and
Modeling.
Chapter
9. Reliability Analysis of Existing Bridge Foundations for
Reuse.
Chapter
10. Recent Developments in Hardware-in-the-Loop Testing.-
Chapter
11. Assessing Structural Reliability at the Component Test Stage
using Real-Time Hybrid Substructuring.
Chapter
12. ModalIdentification Using
a Roving Actuator and a Fixed Sensor.
Chapter
13. Validation of Lightweight
Antenna Reflector Model for Environmental Acoustic Testing Operating
Conditions.
Chapter
14. Confidence in the Prediction of Unmeasured System
Output Using Roll-up Methodology.
Chapter
15. Application of the Transfer
Matrix Method for the Analysis of Lateral Vibrations of Drillstrings with
Parameter Uncertainties.
Chapter
16. Consolidation of Weakly Coupled
Experimental System Modes.
Chapter
17. Fatigue Monitoring and Remaining
Lifetime Prognosis using Operational Vibration Measurements.
Chapter
18.
Feasibility of Applying Phase-Based Video Processing for Modal Identification
of Concrete Gravity Dams.
Chapter
19. Using 2D Phase-Based Motion Estimation
and Video Magnification for Binary Damage Identification on a Wind Turbine
Blade.
Chapter
20. Hierarchical Bayesian Calibration and Response Prediction
of a 10-Story Building Model.
Chapter
21. Scaling and Structural Similarity
underUncertainty.
Chapter
22. Bayesian History Matching for Forward
Model-Driven Structural Health Monitoring.
Chapter
23. Augmented Reality for
Next Generation Infrastructure Inspections.
Chapter
24. A Distribution-Based
Damping Estimation Method for Random Vibration Response and its
Applications.
Chapter
25. A Case Study for Integrating Comp/Sim Credibility
and Convolved UQ and Evidence Theory Results to Support Risk Informed
Decision Making.
Chapter
26. Material Parameter Identification and Response
Prediction of shearing Process for Flying Shear Machine based on Model
Validation.
Chapter
27. Probabilistic Maintenance-Free Operating Period via
Bayesian Filter with Markov Chain Monte Carlo (MCMC) Simulations and Subset
Simulation.
Chapter
28. Bayesian Model Updating of a Damaged School Building
in Sankhu, Nepal.
Chapter
29. Material Uncertainty and Response Bounds:
Novel Super-Ellipsoidal Analysis.
Chapter
30. Interpreting the Eigenbasis of
Principal Component Analysis to Identify Design Space Regions of Interest.-
Chapter
31. Uncertainty Quantification in Nanoscale Impact Experiment in
Energetic Materials.
Chapter
32. Analysis of Contact Dynamics using
Controlled Impact Excitations.
Chapter
33. Extraction of Coupling Stiffness
of Specimens Printed with Selective Laser Melting using Modal Analysis.-
Chapter
34. Quantification of Dynamic Model Validation Metrics using
Uncertainty Propagation from Requirements.
Chapter
35. Natural Frequency
Testing and Model Correlation of Rocket Engine Structures in Liquid Hydrogen
Phase I, Cantilever Beam.
Chapter
36. Optimal Maintenance of Naval Vessels
Considering Service Life Uncertainty.
Chapter
37. Keynote: On the
Monitoring-Driven Assessment of Engineered Systems (40-min).
Dr. Rob Barthorpe is a lecturer in the Dynamics Research Group in the Department of Mechanical Engineering at the University of Sheffield. Dr. Barthorpe's research interests include structural health monitoring, uncertainty analysis and the verification and validation of numerical models.
