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Multi-Dimentional Upwind Schemes for the Euler Equations on Unstructured Grids
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International Journal of Engineering (IJE)
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Volume:  3    Issue:  2
Pages:  85-219
Publication Date:   April 2009
ISSN (Online): 1985-2312
Pages 
185 - 200
Author(s)  
 
Published Date   
18-05-2009 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   CFD, Euler equation, Unstructured triangular meshes, Upwind, Fluctuation, Roe 
 
 
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In the last few years, upwind methods have become very popular in the modeling of advection dominated flows and in particular those which contain strong discontinuities. For more than a decade, these methods have been used successfully to solve numerically the one-dimensional Euler equations [10]. Fluctuation distribution has been recently [3] introduced as an alternative to conventional upwinding. In contrast to standard upwinding the fluctuation distribution approach extends naturally to multidimensional flow without requiring any splitting along coordinate directions. The technique uses a narrow-stencil, local, piecewise linear reconstruction of the flow field solution. The flow field is updated in time by propagating a subset of eigenmodes of the convective operator. Different choices of the eigenmode subset lead to different fluctuation distribution schemes [8]. In this paper the presented models of fluctuation distribution for the Euler equations have reached the stage where they can be used reliably to achieve maximal computational efficiency to practical steady state problems in aerodynamics (Supersonic oblique shock reflection, Flow in a channel with a Bump, Symmetric Constricted channel flows, flow around NACA 0012 aerofoil, flows in a turbine-blade cascade VKI LS-59 ).  
 
 
 
1 PL. Roe. “Approximate Riemann solvers, parameter vectors and difference schemes”. J. Computational Physics. 43(2):357-372, 1981.
2 H. Deconinck, R. Struijs, G. Bourgois, PL. Roe. “High resolution shock capturing cell vertex advection schemes for unstructured grids”. Lecture series, Van Kareman Institute for fluid dynamics. 5: H1-H79,1994.
3 PL. Roe. “Approximate Riemann solvers, parameter vectors and difference schemes”. J. Computational Physics. 43(2):357-372, 1981.
4 H. Deconinck, R. Struijs, G. Bourgois, PL. Roe. “High resolution shock capturing cell vertex advection schemes for unstructured grids”. Lecture series, Van Kareman Institute for fluid dynamics. 5: H1-H79,1994.
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10 PL. Roe. “Algorithmic trends in CFD, chapter Beyond the Riemann Problem”. Springer-Verlag, Part I, 341-367, 1993.
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16 P. De Palma, H. Deconinck and R. Struijs. “Investigation of Roe’s 2D wave decomposition models for the Euler equations”. Technical report, Von Karman Institute for Fluid Dynamics, TN-172, June 1990.
17 B. Laskarzewska and M. Mehrvar. “Atmospheric Chemistry in Existing Air Atmospheric Dispersion Models and Their Applications: Trends, Advances and Future in Urban Areas in Ontario, Canada and in Other Areas of the World”. International Journal of Engineering (IJE), Volume (3) : Issue (1), 2009.
18 R. Atan, A. A. A. Ghani, M. Selamat and R. Mahmod.“Automating Measurement for Software Process Models using Attribute Grammar Rules”. International Journal of Engineering (IJE), Volume (1) : Issue (2), 2007.
19 S. Manchanda, M. Dave and S. B. Singh. “Genetic Information System Development and Maintenance Model For Effective Software Maintenance and Reuse”. International Journal of Engineering (IJE), Volume (1) : Issue (1), 2007.
 
 
 
 
 
 
1 Université Hadj Lakhdar, Batna
 
2 docin
 
 
 
Mounir Aksas : Colleagues
Abdelmouman H. Benmachiche : Colleagues  
 
 
 
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