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

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

Editat de Zhu Mao
en Limba Engleză Hardback – 28 oct 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
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Specificații

ISBN-13: 9783030487782
ISBN-10: 3030487784
Pagini: 437
Ilustrații: IX, 437 p. 264 illus., 222 illus. in color.
Dimensiuni: 210 x 279 mm
Greutate: 1.23 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Conference Proceedings of the Society for Experimental Mechanics Series

Locul publicării:Cham, Switzerland

Notă biografică

Zhu Mao, University of Massachusetts Lowell, MA, USA; Ramin Madadshahian, Occidental Petroleum Corporation,  TX, USA.​

Textul de pe ultima copertă

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

Cuprins

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.