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231103 ||| eng |
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|a 9783031370038
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|a Platz, Roland
|e [editor]
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|a Model Validation and Uncertainty Quantification, Volume 3
|h Elektronische Ressource
|b Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023
|c edited by Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouellette
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|a 1st ed. 2024
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|a Cham
|b Springer Nature Switzerland
|c 2024, 2024
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300 |
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|a IX, 210 p. 134 illus., 125 illus. in color
|b online resource
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|a Models of Computation
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|a Computer science
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|a Engineering mathematics
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|a Model theory
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|a Civil engineering
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|a Model Theory
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|a Engineering / Data processing
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|a Civil Engineering
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|a Mathematical statistics / Data processing
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|a Statistics and Computing
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|a Mathematical and Computational Engineering Applications
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|a Flynn, Garrison
|e [editor]
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|a Neal, Kyle
|e [editor]
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|a Ouellette, Scott
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Conference Proceedings of the Society for Experimental Mechanics Series
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|a 10.1007/978-3-031-37003-8
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|u https://doi.org/10.1007/978-3-031-37003-8?nosfx=y
|x Verlag
|3 Volltext
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|a 620
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|a 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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