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

Zhu Mao

ISBN 10: 3030773477 / ISBN 13: 9783030773472

Edité par Springer International Publishing, 2022

A propos de cet article

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.

N° de réf. du vendeur 9783030773472

Détails bibliographiques

• Titre: Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021
• Éditeur: Springer International Publishing
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 3030773477
• ISBN à 13 chiffres: 9783030773472
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 285 L x 215 H x 17 P (en millimètres) 285 millimètres de largeur par 215 millimètres de hauteur par 17 millimètres de profondeur
• Poids: 745 grammes

A propos de ce titre

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

À propos de l?auteur

Zhu Mao, University of Massachusetts Lowell, MA, USA