Model Validation and Uncertainty Quantification, Volume 3 (Hardcover)

Roland Platz

ISBN 10: 3031370023 / ISBN 13: 9783031370021

Editore: Springer International Publishing AG, Cham, 2023

Riguardo questo articolo

Hardcover. 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 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9783031370021

Dati bibliografici

• Titolo: Model Validation and Uncertainty Quantification, Volume 3 (Hardcover)
• Editore: Springer International Publishing AG, Cham
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3031370023
• ISBN 13: 9783031370021
• Rilegatura: Hardcover
• Condizione: new

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