Parallel single grid and multigrid solution of industrial compressible flow problems

The Euler and Navier-Stokes equations with a k-ϵ turbulence model are solved numerically in parallel on a distributed memory machine IBM SP2, a shared memory machine SGI Power Challenge, and a cluster of SGI workstations. The grid is partitioned into blocks and the steady state solution is computed...

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Bibliographic Details
Published in:Computers & fluids 1997-11, Vol.26 (8), p.775-791
Main Authors: Alund, Anders, Lotstedt, Per, Sillen, Mattias
Format: Article
Language:English
Subjects:
Aerodynamics
Algorithms
Applied fluid mechanics
Compressible flow
Computational methods in fluid dynamics
Exact sciences and technology
Fluid dynamics
Fundamental areas of phenomenology (including applications)
Heuristic methods
Intake systems
Iterative methods
Mathematical models
Navier Stokes equations
Physics
Turbulence
Turbulence simulation and modeling
Turbulent flows, convection, and heat transfer
Wings
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Summary:The Euler and Navier-Stokes equations with a k-ϵ turbulence model are solved numerically in parallel on a distributed memory machine IBM SP2, a shared memory machine SGI Power Challenge, and a cluster of SGI workstations. The grid is partitioned into blocks and the steady state solution is computed using single grid and multigrid iteration. The multigrid algorithm is analyzed leading to an estimate of the elapsed time per iteration. Based on this analysis, a heuristic algorithm is devised for distributing and splitting the blocks for a good static load balance. Speed-up results are presented for a wing, a complete aircraft and an air inlet.
ISSN:0045-7930
1879-0747
1879-0747
DOI:10.1016/S0045-7930(97)00018-2