Model Validation and Uncertainty Quantification, Volume 3 (Hardcover)

Zhu Mao

ISBN 10: 3030773477 / ISBN 13: 9783030773472

Published by Springer Nature Switzerland AG, Cham, 2022

About this Item

Hardcover. 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 QuantificationControlling UncertaintyValidation of Models for Operating EnvironmentsModel Validation & Uncertainty Quantification: Decision MakingUncertainty Quantification in Structural DynamicsUncertainty in Early Stage DesignComputational and Uncertainty Quantification Tools Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783030773472

Bibliographic Details

• Title: Model Validation and Uncertainty Quantification, Volume 3 (Hardcover)
• Publisher: Springer Nature Switzerland AG, Cham
• Publication Date: 2022
• Language: English
• ISBN 10: 3030773477
• ISBN 13: 9783030773472
• Binding: Hardcover
• Condition: new

About this title

Synopsis

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

About the Author

Zhu Mao, University of Massachusetts Lowell, MA, USA