Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023

Roland Platz

ISBN 10: 3031370058 / ISBN 13: 9783031370052

Editore: Springer Nature Switzerland, Springer International Publishing, 2025

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, 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:Introduction of Uncertainty QuantificationUncertainty Quantification in DynamicsModel Form Uncertainty and Selection incl. Round Robin ChallengeSensor and Information FusionVirtual Sensing, Certification, and Real-Time MonitoringSurrogate Modeling.

Codice articolo 9783031370052

Dati bibliografici

• Titolo: Model Validation and Uncertainty Quantification, Volume 3 : Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023
• Editore: Springer Nature Switzerland, Springer International Publishing
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3031370058
• ISBN 13: 9783031370052
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 279 L x 210 A x 13 P (millimetri) 279 millimetri di larghezza per 210 millimetri di altezza per 13 millimetri di profondità
• Peso: 558 grammi

Descrizione articolo

Riassunto

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, 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:

Introduction of Uncertainty Quantification

Uncertainty Quantification in Dynamics

Model Form Uncertainty and Selection incl. Round Robin Challenge

Sensor and Information Fusion

Virtual Sensing, Certification, and Real-Time Monitoring

Surrogate Modeling

Informazioni sull?autore

Roland Platz–Deggendorf Institute of Technology, Weißenburg, Bavaria, Germany; Garrison Flynn–Los Alamos National Laboratory, Santa Fe, NM, USA; Kyle Neal–Sandia National Laboratories, Albuquerque, NM, USA; Scott Ouellette–Los Alamos National Laboratory, Santa Fe, NM, USA