Artificial viscosity proper orthogonal decomposition

We introduce improved reduced-order models for turbulent flows. These models are inspired from successful methodologies used in large eddy simulation, such as artificial viscosity, applied to standard models created by proper orthogonal decomposition of flows coupled with Galerkin projection. As a f...

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Vydané v:Mathematical and computer modelling Ročník 53; číslo 1; s. 269 - 279
Hlavní autori: Borggaard, Jeff, Iliescu, Traian, Wang, Zhu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Kidlington Elsevier Ltd 2011
Elsevier
Predmet:
Artificial viscosity
equations
Exact sciences and technology
Large eddy simulation
Mathematical analysis
Mathematics
methodology
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis
Numerical analysis in abstract spaces
Numerical analysis. Scientific computation
Partial differential equations
Proper orthogonal decomposition
Sciences and techniques of general use
turbulent flow
viscosity
Proper orthogonal decomposition
Artificial viscosity
Large eddy simulation
Viscosity
Turbulence
Turbulent flow
Decomposition method
Burgers equation
Discretization method
Numerical analysis
Applied mathematics
Diffusion equation
Galerkin method
Abstract space
Mathematical model
Computer aided analysis
ISSN:0895-7177, 1872-9479
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Abstract We introduce improved reduced-order models for turbulent flows. These models are inspired from successful methodologies used in large eddy simulation, such as artificial viscosity, applied to standard models created by proper orthogonal decomposition of flows coupled with Galerkin projection. As a first step in the analysis and testing of our new methodology, we use the Burgers equation with a small diffusion parameter. We present a thorough numerical analysis for the time discretization of the new models. We then test these models in two problems displaying shock-like phenomena. Of course, since the Burgers equation does not model turbulence, we next need to test our new models in realistic turbulent flow settings. This is the subject of a forthcoming report.
AbstractList We introduce improved reduced-order models for turbulent flows. These models are inspired from successful methodologies used in large eddy simulation, such as artificial viscosity, applied to standard models created by proper orthogonal decomposition of flows coupled with Galerkin projection. As a first step in the analysis and testing of our new methodology, we use the Burgers equation with a small diffusion parameter. We present a thorough numerical analysis for the time discretization of the new models. We then test these models in two problems displaying shock-like phenomena. Of course, since the Burgers equation does not model turbulence, we next need to test our new models in realistic turbulent flow settings. This is the subject of a forthcoming report.
Author Wang, Zhu
Borggaard, Jeff
Iliescu, Traian
Author_xml – sequence: 1
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  givenname: Zhu
  surname: Wang
  fullname: Wang, Zhu
  email: wangzhu@vt.edu
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Issue 1
Keywords Proper orthogonal decomposition
Artificial viscosity
Large eddy simulation
Viscosity
Turbulence
Turbulent flow
Decomposition method
Burgers equation
Discretization method
Numerical analysis
Applied mathematics
Diffusion equation
Galerkin method
Abstract space
Mathematical model
Computer aided analysis
Language English
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Snippet We introduce improved reduced-order models for turbulent flows. These models are inspired from successful methodologies used in large eddy simulation, such as...
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SubjectTerms Artificial viscosity
equations
Exact sciences and technology
Large eddy simulation
Mathematical analysis
Mathematics
methodology
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis
Numerical analysis in abstract spaces
Numerical analysis. Scientific computation
Partial differential equations
Proper orthogonal decomposition
Sciences and techniques of general use
turbulent flow
viscosity
Title Artificial viscosity proper orthogonal decomposition
URI https://dx.doi.org/10.1016/j.mcm.2010.08.015
https://www.proquest.com/docview/1733513806
Volume 53
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