Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021

Zhu Mao

ISBN 10: 3030773507 / ISBN 13: 9783030773502

Published by Springer International Publishing, 2023

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 39thIMAC, 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.

Seller Inventory # 9783030773502

Bibliographic Details

• Title: Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021
• Publisher: Springer International Publishing
• Publication Date: 2023
• Language: English
• ISBN 10: 3030773507
• ISBN 13: 9783030773502
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 280W x 210H x 11D millimeters 280 millimeters width by 210 millimeters height by 11 millimeters depth
• Weight: 494 grams

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