Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022

Zhu Mao

ISBN 10: 3031040899 / ISBN 13: 9783031040894

Published by Springer International Publishing, 2022

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Model Validation and Uncertainty Quantification, Volume 3:Proceedings of the 40thIMAC, A Conference and Exposition on Structural Dynamics, 2022,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 and Propagation in Structural DynamicsBayesian Analysis for Real-Time Monitoring and MaintenanceUncertainty in Early Stage DesignQuantification of Model-Form UncertaintiesFusion of Test and AnalysisMVUQ in Action.

Seller Inventory # 9783031040894

Bibliographic Details

• Title: Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022
• Publisher: Springer International Publishing
• Publication Date: 2022
• Language: English
• ISBN 10: 3031040899
• ISBN 13: 9783031040894
• Binding: Buch
• Condition: Neu
• Dimensions: 285W x 215H x 15D millimeters 285 millimeters width by 215 millimeters height by 15 millimeters depth
• Weight: 661 grams

About this title

Synopsis

Model Validation and Uncertainty Quantification, Volume 3:  Proceedings of the 40^th IMAC, A Conference and Exposition on Structural Dynamics, 2022, 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 and Propagation in Structural Dynamics
• Bayesian Analysis for Real-Time Monitoring and Maintenance
• Uncertainty in Early Stage Design
• Quantification of Model-Form Uncertainties
• Fusion of Test and Analysis
• MVUQ in Action

About the Author

Dr. ​Zhu Mao, Worcester Polytechic Institute, MA, USA