Model Validation and Uncertainty Quantification, Volume 3

Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016

Nonfiction, Science & Nature, Science, Physics, Mechanics, Technology, Engineering, Mechanical
Cover of the book Model Validation and Uncertainty Quantification, Volume 3 by , Springer International Publishing
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Author: ISBN: 9783319297545
Publisher: Springer International Publishing Publication: June 27, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319297545
Publisher: Springer International Publishing
Publication: June 27, 2016
Imprint: Springer
Language: English

Model Validation and Uncertainty Quantifi cation, Volume 3. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. Th e collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on:

• Uncertainty Quantifi cation & Model Validation

• Uncertainty Propagation in Structural Dynamics

• Bayesian & Markov Chain Monte Carlo Methods

• Practical Applications of MVUQ

• Advances in MVUQ & Model Updating

• Robustness in Design & Validation

• Verifi cation & Validation Methods

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Model Validation and Uncertainty Quantifi cation, Volume 3. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. Th e collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on:

• Uncertainty Quantifi cation & Model Validation

• Uncertainty Propagation in Structural Dynamics

• Bayesian & Markov Chain Monte Carlo Methods

• Practical Applications of MVUQ

• Advances in MVUQ & Model Updating

• Robustness in Design & Validation

• Verifi cation & Validation Methods

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