Computational Fluid Dynamics 2002: Proceedings of the Second by D. W. Zingg, M. Nemec, T. T. Chisholm (auth.), Steve W.

Computational Fluid Dynamics 2002: Proceedings of the Second by D. W. Zingg, M. Nemec, T. T. Chisholm (auth.), Steve W.

By D. W. Zingg, M. Nemec, T. T. Chisholm (auth.), Steve W. Armfield, Patrick Morgan, Karkenahalli Srinivas (eds.)

The foreign convention on Computational Fluid Dynamics (ICCFD) is the merger of the overseas convention on Numerical tools in Fluid Dynamics (ICNMFD) and the overseas Symposium on Computational Fluid Dynamics (ISCFD). it's held each years and brings jointly physicists, mathematicians and engineers to check and percentage fresh advances in mathematical and computational ideas for modeling fluid dynamics. The lawsuits of the 2002 convention held in Sydney, Australia, include a variety of refereed contributions and are supposed to function a resource of reference for all these attracted to the cutting-edge in computational fluid dynamics.

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Additional info for Computational Fluid Dynamics 2002: Proceedings of the Second International Conference on Computational Fluid Dynamics, ICCFD, Sydney, Australia, 15–19 July 2002

Example text

10(b) shows the drag coefficient as a function of the Mach number at fixed lift. 7l. Using multi-point optimization, the drag-divergence Mach number can be increased without a penalty at lower Mach numbers. Fig. 11 shows the results of an optimization performed using a four-point composite objective function based on the weighted-sum method. 76. 74 is greatly reduced. Although the airfoil is still not suitable for practical use, since off-design angles of attack also need to be incorporated into the composite objective function, this example demonstrates the applicability of the Newton-Krylov algorithm to practical multi-point optimization.

Converting the non-staggered code to run on the workstation cluster using the data parallel approach is relatively straightforward and benchmark results are presented showing that excellent results are achieved. S. W. Armfield et al. ), Computational Fluid Dynamics 2002 © Springer-Verlag Berlin Heidelberg 2003 Parallel Non-Staggered Navier-Stokes Solver 2 31 N avier-Stokes Code The Navier-Stokes equations in non-dimensional and incompressible form are as follows, Ut + (u· \7)u = -\7P + \7. u = 0, Je \7 u, (1) 2 (2) where u is the velocity, P the pressure and Re is the Reynolds number.

11. J. Reuther, A. J. J. Remlinger, D. Saunders: Parts 1 and 2, J. Aircraft, 36(1):51-74, 1999. 12. J. Elliott, J. , 102:365-376, 1998. 13. J. K. , 40(6):1155-1163,2002. 14. M. W. , 40(7):1146-1154, 2002. 15. A. W. , 36(11):1991-1997, 1998. 16. W. Zingg, S. De Rango, A. A. M. , World Scientific, Singapore, 2002. 17. R. R. Allmaras: "A One-Equation Turbulence Model for Aerodynamic Flows," AIAA 92-0439, Jan. 1992. 18. M. W. Zingg: "From Analysis to Design of High-Lift Configurations Using a Newton-Krylov Algorithm," Paper 173, ICAS 2002, September 2002.

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