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ADAPTIVE PARALLEL MULTIGRID SOLUTION OF 2D INCOMPRESSIBLE NAVIER–STOKES EQUATIONS
Author(s) -
Wu Jian,
Ritzdorf Hubert,
Oosterlee Kees,
Steckel Barbara,
Schüller Anton
Publication year - 1997
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/(sici)1097-0363(19970515)24:9<875::aid-fld517>3.0.co;2-n
Subject(s) - multigrid method , computer science , adaptive mesh refinement , grid , scalability , parallel computing , parallel algorithm , distributed memory , computational science , finite element method , mathematical optimization , navier–stokes equations , compressibility , algorithm , shared memory , mathematics , geometry , partial differential equation , mathematical analysis , physics , engineering , database , thermodynamics , aerospace engineering
In this paper an adaptive parallel multigrid method and an application example for the 2D incompressible Navier–Stokes equations are described. The strategy of the adaptivity in the sense of local grid refinement in the multigrid context is the multilevel adaptive technique (MLAT) suggested by Brandt. The parallelization of this method on scalable parallel systems is based on the portable communication library CLIC and the message‐passing standards: PARMACS, PVM and MPI. The specific problem considered in this work is a two‐dimensional hole pressure problem in which a Poiseuille channel flow is disturbed by a cavity on one side of the channel. Near geometric singularities a very fine grid is needed for obtaining an accurate solution of the pressure value. Two important issues of the efficiency of adaptive parallel multigrid algorithms, namely the data redistribution strategy and the refinement criterion, are discussed here. For approximate dynamic load balancing, new data in the adaptive steps are redistributed into distributed memories in different processors of the parallel system by block remapping. Among several refinement criteria tested in this work, the most suitable one for the specific problem is that based on finite‐element residuals from the point of view of self‐adaptivity and computational efficiency, since it is a kind of error indicator and can stop refinement algorithms in a natural way for a given tolerance. Comparisons between different global grids without and with local refinement have shown the advantages of the self‐adaptive technique, as this can save computer memory and speed up the computing time several times without impairing the numerical accuracy. © 1997 By John Wiley & Sons, Ltd. Int. J. Numer. Methods Fluids 24, 875–892, 1997.