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Model Validation and Uncertainty Quantification, Volume 3 [electronic resource] : Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023 / edited by Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouellette.

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TextSeries: Conference Proceedings of the Society for Experimental Mechanics SeriesPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: IX, 210 p. 134 illus., 125 illus. in color. online resourceContent type:

text

Media type:

computer

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online resource

ISBN:

9783031370038

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Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:

TA329-348
TA345-345.5

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Resursa online

In: Springer Nature eBookSummary: 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: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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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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