Details

Autor(en) / Beteiligte

• Sethian, J.A
• Brunet, Jean-Philippe
• Greenberg, Adam
• Mesirov, Jill P

Titel

Two-dimensional, viscous, incompressible flow in complex geometries on a massively parallel processor

Ist Teil von

• Journal of computational physics, 1992-07, Vol.101 (1), p.185-206

Ort / Verlag

Amsterdam: Elsevier Inc

Erscheinungsjahr

1992

Quelle

Elsevier Journal Backfiles on ScienceDirect (DFG Nationallizenzen)

Beschreibungen/Notizen

• We describe the parallel implementation of a numerical method, known as the random vortex method, for simulating fluid flow in arbitrary, complex geometries. The code is implemented on the Connection Machine CM-2, a massively parallel processor. The numerical method is particularly suited for computing complex viscous, incompressible flow across a wide range of flow regimes and characteristics. In this method, the vorticity of the flow is approximated by a collection of particles whose positions and strengths induce an underlying flow. As such, it is a Lagrangian scheme, in which the position of each particle is affected by all others at each time step. The efficient execution of this method on the Connection Machine results from a parallel N body solver, parallel elliptic solvers, and a parallel data structure for the adaptive creation of computational elements on the boundary of the confining region. Using this method, we analyze the generation of large vortex structures, mixing and shedding under various flow geometries and inlet/outlet profiles. The data from our simulations are visualized using the real-time flow visualization environment developed on the Connection Machine.