Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems

Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems

Industrial dynamical systems often exhibit multi-scale responses due to material heterogeneity and complex operation conditions. The smallest length-scale of the systems dynamics controls the numerical resolution required to resolve the embedded physics. In practice however, high numerical resolutio...

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Bibliographic Details
Main Authors: Waad Subber, Sayan Ghosh, Piyush Pandita, Yiming Zhang, Liping Wang
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Vibration
Subjects:
Bayesian inference
uncertainty quantification
dynamical systems
inverse problem
machine learning
system identification
Online Access:https://www.mdpi.com/2571-631X/4/1/4

Internet

https://www.mdpi.com/2571-631X/4/1/4

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