Model Validation and Uncertainty Quantification, Volume 3 (Hardcover)

Zhu Mao

ISBN 10: 3030773477 / ISBN 13: 9783030773472

Edité par Springer Nature Switzerland AG, Cham, 2022

A propos de cet article

Hardcover. 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 QuantificationControlling UncertaintyValidation of Models for Operating EnvironmentsModel Validation & Uncertainty Quantification: Decision MakingUncertainty Quantification in Structural DynamicsUncertainty in Early Stage DesignComputational and Uncertainty Quantification Tools Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

N° de réf. du vendeur 9783030773472

Détails bibliographiques

• Titre: Model Validation and Uncertainty Quantification, Volume 3 (Hardcover)
• Éditeur: Springer Nature Switzerland AG, Cham
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 3030773477
• ISBN à 13 chiffres: 9783030773472
• Reliure: Hardcover
• État de l'article: new

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