Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019

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ISBN 10: 3030120740 / ISBN 13: 9783030120740

Published by Springer, 2019

About this Item

Zustand: Hervorragend | Seiten: 312 | Sprache: Englisch | Produktart: Bücher | Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight 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 QuantificationControlling UncertaintyValidation of Models for Operating EnvironmentsModel Validation & Uncertainty Quantification: Decision MakingUncertainty Quantification in Structural DynamicsUncertainty in Early Stage DesignComputational and Uncertainty Quantification Tools.

Seller Inventory # 33403034/1

Bibliographic Details

• Title: Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019
• Publisher: Springer
• Publication Date: 2019
• Language: English
• ISBN 10: 3030120740
• ISBN 13: 9783030120740
• Binding: Hardcover
• Condition: Hervorragend
• Seller catalogs:
  • Bücher

About this title

Synopsis

Model Validation and Uncertainty Quantification, Volume 3:  Proceedings of the 37^th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight 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 

About the Author

R. Barthorpe, is a Professor with the University of Sheffield, Sheffield, UK.