Model Validation and Uncertainty Quantification, Vol. 3 (Hardcover)

Roland Platz

ISBN 10: 3031688929 / ISBN 13: 9783031688928

Published by Springer International Publishing AG, Cham, 2024

About this Item

Hardcover. Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the third volume of ten 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 DynamicsFusion of Test and AnalysisModel Form Uncertainty: Round Robin Challenge UQVI (Uncertainty Quantification in Vibration Isolation)Recursive Bayesian System IdentificationVirtual Sensing & Realtime MonitoringSurrogate Modeling and Reduced Order Models Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783031688928

Bibliographic Details

• Title: Model Validation and Uncertainty Quantification, Vol. 3 (Hardcover)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2024
• Language: English
• ISBN 10: 3031688929
• ISBN 13: 9783031688928
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Model Validation and Uncertainty Quantification, Volume 3:  Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the third volume of ten 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 Dynamics
• Fusion of Test and Analysis
• Model Form Uncertainty: Round Robin Challenge UQVI (Uncertainty Quantification in Vibration Isolation)
• Recursive Bayesian System Identification
• Virtual Sensing & Realtime Monitoring
• Surrogate Modeling and Reduced Order Models