A non-intrusive model reduction approach for polynomial chaos expansion using proper orthogonal decomposition-Reference-Cited by-同舟云学术

A non-intrusive model reduction approach for polynomial chaos expansion using proper orthogonal decomposition

Published:2015-03-26 Issue:4 Volume:103 Page:293-312
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Engng

Author:

Raisee M.¹,Kumar D.²,Lacor C.²

Affiliation:

1. School of Mechanical Engineering, College of Engineering; University of Tehran; P.O.Box: 11155-4563 Tehran IRAN

2. Fluid Mechanics and Thermodynamics Research Group, Department of Mechanical Engineering; Vrije Universiteit Brussels; Pleinlaan 2 1050 Brussels Belgium

Funder

European Commission

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Reference25 articles.

1. Stochastic model reduction for chaos representations;Doostan;Computer Methods in Applied Mechanics and Engineering,2007

2. A generalized spectral decomposition technique to solve a class of linear stochastic partial differential equations;Nouy;Computer Methods in Applied Mechanics and Engineering,2007

3. Monte Carlo

4. Walters RW Huyse L Uncertainty analysis for fluid mechanics with applications NASA/CR 2002-211449 2002 1 45

5. Modeling uncertainty in flow simulations via generalized polynomial chaos;Xiu;Journal of Computational Physics,2003

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