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A Proper-Orthogonal Decomposition Variational Multiscale Approximation Method for a Generalized Oseen Problem
Author
Source
Advances in Numerical Analysis
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We introduce the variational multiscale (VMS) stabilization for the reduced-order modeling of incompressible flows.
It is well known that the proper orthogonal decomposition (POD) technique in reduced-order modeling experiences numerical instability when applied to complex flow problems.
In this case a POD discretization naturally separates out structures which corresponding to the energy cascade on large and small scales, in order, a VMS approach is natural.
In this paper, we provide the mathematical background necessary for implementing VMS to a POD-Galerkin model of a generalized Oseen problem.
We provide theoretical evidence which indicates the consistency of utilizing a VMS approach in the stabilization of reduced order flows.
In addition we provide numerical experiments indicating that VMS improves fidelity in reproducing the qualitative properties of the flow.
American Psychological Association (APA)
Roop, John Paul. 2013. A Proper-Orthogonal Decomposition Variational Multiscale Approximation Method for a Generalized Oseen Problem. Advances in Numerical Analysis،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-512756
Modern Language Association (MLA)
Roop, John Paul. A Proper-Orthogonal Decomposition Variational Multiscale Approximation Method for a Generalized Oseen Problem. Advances in Numerical Analysis No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-512756
American Medical Association (AMA)
Roop, John Paul. A Proper-Orthogonal Decomposition Variational Multiscale Approximation Method for a Generalized Oseen Problem. Advances in Numerical Analysis. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-512756
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512756