Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020

Zhu Mao

ISBN 10: 3030476375 / ISBN 13: 9783030476373

Verlag: Springer International Publishing, 2021

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 38thIMAC, A Conference and Exposition on Structural Dynamics, 2020,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 in Material ModelsUncertainty Propagation in Structural DynamicsPractical Applications of MVUQAdvances in Model Validation & Uncertainty Quantification: Model UpdatingModel Validation & Uncertainty Quantification: Industrial ApplicationsControlling UncertaintyUncertainty in Early Stage DesignModeling of Musical InstrumentsOverview of Model Validation and Uncertainty.

Bestandsnummer des Verkäufers 9783030476373

Bibliografische Details

• Titel: Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020
• Verlag: Springer International Publishing
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 3030476375
• ISBN-13: 9783030476373
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 279B x 210 H x 25 T Millimeter Breite: 279 mm, Höhe: 210 mm, Tiefe: 25 mm
• Gewicht: 1084 Gramm

Über diesen Titel

Inhaltsangabe

Model Validation and Uncertainty Quantification, Volume 3:  Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020, 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 in Material Models

Uncertainty Propagation in Structural Dynamics

Practical Applications of MVUQ

Advances in Model Validation & Uncertainty Quantification: Model Updating

Model Validation & Uncertainty Quantification: Industrial Applications

Controlling Uncertainty

Uncertainty in Early Stage Design

Modeling of Musical Instruments

Overview of Model Validation and Uncertainty

Über die Autorin bzw. den Autor

Zhu Mao, University of Massachusetts Lowell, MA, USA; Ramin Madadshahian, Occidental Petroleum Corporation,  TX, USA.​