An Efficient Polynomial Chaos Expansion Method for Uncertainty Quantification in Dynamic Systems

An Efficient Polynomial Chaos Expansion Method for Uncertainty Quantification in Dynamic Systems

Uncertainty is a common feature in first-principles models that are widely used in various engineering problems. Uncertainty quantification (UQ) has become an essential procedure to improve the accuracy and reliability of model predictions. Polynomial chaos expansion (PCE) has been used as an effici...

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Bibliographic Details
Main Authors: Jeongeun Son, Yuncheng Du
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Mechanics
Subjects:
uncertainty quantification
generalized dimension reduction
orthogonal polynomial basis
arbitrary uncertainty
Gram-Schmidt polynomial chaos
Online Access:https://www.mdpi.com/2673-3161/2/3/26

Internet

https://www.mdpi.com/2673-3161/2/3/26

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