Abstract
This chapter presents a code for large eddy simulation (LES) and direct numerical simulation (DNS) of turbulent flows in complex geometries. MGLET uses a number of different techniques to save memory and CPU time consumption. It runs efficiently on a number of different platforms, from workstations, to massively parallel machines (as the CRAY T3E) and vector supercomputers (as the Fujitsu VPP/700). The specific design of the code allows for an efficient use of vector and parallel computers. Curved boundaries are approximated by 4th order (tricubic) interpolation within a Cartesian grid. Being able to predict the flow over an arbitrarily shaped body with a Cartesian grid is very attractive, since typically a Cartesian code is between 10 and 30 times more economical in terms of both CPU time and memory requirements when compared to a code for general curvilinear coordinates.
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