Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023: Conference Proceedings of the Society for Experimental Mechanics Series
Editat de Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouelletteen Limba Engleză Hardback – 8 oct 2023
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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Specificații
ISBN-13: 9783031370021
ISBN-10: 3031370023
Ilustrații: IX, 210 p. 134 illus., 125 illus. in color.
Dimensiuni: 210 x 279 mm
Greutate: 0.82 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Conference Proceedings of the Society for Experimental Mechanics Series
Locul publicării:Cham, Switzerland
ISBN-10: 3031370023
Ilustrații: IX, 210 p. 134 illus., 125 illus. in color.
Dimensiuni: 210 x 279 mm
Greutate: 0.82 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Conference Proceedings of the Society for Experimental Mechanics Series
Locul publicării:Cham, Switzerland
Notă biografică
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
Textul de pe ultima copertă
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