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

Verlag: Springer International Publishing, 2022

Beschreibung

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.

Bestandsnummer des Verkäufers 9783031040894

Bibliografische Details

• Titel: Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022
• Verlag: Springer International Publishing
• Erscheinungsjahr: 2022
• Sprache: Englisch
• ISBN-10: 3031040899
• ISBN-13: 9783031040894
• Einband: Buch
• Zustand: Neu
• Abmessungen: 285B x 215 H x 15 T Millimeter Breite: 285 mm, Höhe: 215 mm, Tiefe: 15 mm
• Gewicht: 661 Gramm

Über diesen Titel

Inhaltsangabe

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

Über die Autorin bzw. den Autor

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