Model Validation and Uncertainty Quantification . Volume 3, Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023 / edited by Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouellette
Material type:
E-bookSeries: (Conference Proceedings of the Society for Experimental Mechanics Series, 2191-5652).Publisher: Cham : Springer International Publishing, 2024Edition: 1st ed. 2024.Description: 1 recurso en línea.ISBN: 9783031370038.Subject: Estructuras (Construcción) -- Dinámica -- Congresos y asambleas
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Summary: 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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA654 2024 EB (Browse shelf(Opens below)) | Acceso electrónico | ebook10042134 |
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.
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