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International Journal for Numerical Methods in Fluids
Article . 2002 . Peer-reviewed
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Article . 2002
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Iterative substructuring methods for incompressible non‐isothermal flows and its application to indoor air flow simulation

Iterative substructuring methods for incompressible non-isothermal flows and its application to indoor air flow simulation
Authors: Knopp, Tobias; Lube, Gert; Gritzki, Ralf; Rosler, M.;

Iterative substructuring methods for incompressible non‐isothermal flows and its application to indoor air flow simulation

Abstract

AbstractThe parallel solution of the incompressible Navier–Stokes equations coupled with the energy equation is considered. For turbulent flows, the k/ε model together with a modified wall‐function concept is used. The iterative process requires the fast solution of advection–diffusion reaction and Oseen‐type problems. These linearized problems are discretized using stabilized finite element methods. We apply a coarse–granular iterative substructuring method which couples the subdomain problems via Robin‐type interface conditions. Then we apply the approach to the simulation of indoor air flow problems. Copyright © 2002 John Wiley & Sons, Ltd.

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Keywords

\(k\)-\(\varepsilon\) modeling in turbulence, Navier-Stokes equations for incompressible viscous fluids, turbulence, Shear flows and turbulence, Navier-Stokes equations, buoyancy driven air flow, Finite element methods applied to problems in fluid mechanics

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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!
6
Average
Top 10%
Average
Green
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