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PolyPublie
Article . 1997
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Conference object . 1994
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AIAA Journal
Article . 1997 . Peer-reviewed
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Article . 1997 . Peer-reviewed
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https://doi.org/10.2514/6.1994...
Article . 1994 . Peer-reviewed
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Adaptive Remeshing for the k-Epsilon Model of Turbulence

Adaptive remeshing for the \(k\)-\(\varepsilon\) model or turbulence
Authors: Pelletier, D.; Ilinca, F.;

Adaptive Remeshing for the k-Epsilon Model of Turbulence

Abstract

Summary: An adaptive finite element method for solving incompressible turbulent flows using the \(k\)-\(\varepsilon\) model of turbulence is presented. Solutions are obtained in primitive variables using a highly accurate quadratic finite element on unstructured grids. Two error estimators are presented that take into account in a rigorous way the relative importance of the errors in velocity, pressure, turbulence variables, and eddy viscosity. The efficiency and convergence rate of the methodology are evaluated by solving problems with known analytical solutions. The method is then applied to turbulent free shear flows, and predictions are compared to measurements.

Country
Canada
Related Organizations
Keywords

Computational Fluid Dynamics and Aerodynamics, Environmental Engineering, turbulent free shear flows, Fluid Dynamics and Turbulent Flows, Computational Mechanics, quadratic finite element, Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs, error estimators, primitive variables, convergence rate, Wind and Air Flow Studies, Shear flows and turbulence, unstructured grids, Finite element methods applied to problems in fluid mechanics

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Average
Top 10%
Top 10%
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