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
Chapter
1. Effect of Inspection Errors in Optimal Maintenance Decisions
for Deteriorating Quoin Blocks in Miter Gates.
Chapter
2. Model Uncertainty
Quantification and Updating of a Boundary Condition Model of a Miter Gate
Using Strain Measurements.- Chapter
3. Fusion of Test and Analysis: Artemis
I Booster to Mobile Launcher Interface Validation.- Chapter
4. Quantifying
the Benefits of Structural Health Monitoring using Value of Information and
Decision Risk Modeling.- Chapter
5. Error Localization Examples: Looking for
a Needle in a Haystack.- Chapter
6. WaveImage Bridges the Gap Between
Measurement and Simulation. An Application Example of How to Create a Modal
Digital Twin using FE Model Updating.- Chapter
7. Virtual Sensing for Wind
Turbine Blade Full Field Response Estimation in Operational Modal
Analysis.- Chapter
8. Dynamics of a Non-Linear Oscillator: Dependencies on
Extrinsic Conditions and Model Form Uncertainty.- Chapter
9. Uncertainty
Quantification of a Cantilevered Pipeline Conveying Fluid with Motion
Limiting Constraints.- Chapter
10. Playability of a 1734 Guarneri Cello:
Info-Gap Robustness Analysis of Uncertainty.- Chapter
11. Uncertainty
Quantification of Axially-Loaded Beams with Boundary Condition
Imperfections.- Chapter
12. Parameter Uncertainties Effects on the Buckling
Characteristics of Cylindrical Structures in Thermal Environment.- Chapter
13. The Beginnings of an Error-Based Framework for Digital Twins of Dynamic
Systems.- Chapter
14. Hierarchical Bayesian Model Updating for Nonlinear
Structures Using Response Time Histories.- Chapter
15. SLS Integrated Modal
Test Uncertainty Quantification using the Hybrid Parametric Variation
Method.- Chapter
16. A Forward Model Driven Structural Health Monitoring
Paradigm: Damage Detection.- Chapter
17. Best Paper: Uncertainty
Quantification of Inducer Eigenvalues using Conditional Assessment of Models
and Modal Test of Simpler Systems.- Chapter
18. Application of Speaker
Recognition x-Vectors to Structural Health Monitoring.- Chapter
19. Equation
Discovery Using an Efficient Variational Bayesian Approach with Spike and
Slab Priors.- Chapter
20. Bayesian Finite Element Model Updating Using an
Improved Evolution Markov Chain Algorithm.- Chapter
21. Using Dead and
Thermal Loads to Capture Behavioral Changes of a Cable-stayed
Bridge.- Chapter
22. Vibration-Based Damage Detection Framework of Large
Scale Structural Systems.
Zhu Mao, University of Massachusetts Lowell, MA, USA
