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.

Colaborador(es): Platz, Roland [editor.] | Flynn, Garrison [editor.] | Neal, Kyle [editor.] | Ouellette, Scott [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Conference Proceedings of the Society for Experimental Mechanics SeriesEditor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: IX, 210 p. 134 illus., 125 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031370038Tema(s): Engineering mathematics | Engineering -- Data processing | Computer science | Civil engineering | Model theory | Mathematical statistics -- Data processing | Mathematical and Computational Engineering Applications | Models of Computation | Civil Engineering | Model Theory | Statistics and ComputingFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 620 Clasificación LoC:TA329-348TA345-345.5Recursos en línea: Libro electrónicoTexto En: Springer Nature eBookResumen: 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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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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