Fast, block lower-upper symmetric Gauss-Seidel scheme for arbitrary grids

被引：150

作者：

Chen, RF ^{[1
]}

Wang, ZJ ^{[1
]}

机构：

[1] CFD Res Corp, Huntsville, AL 35805 USA

来源：

AIAA JOURNAL | 2000年 / 38卷 / 12期

关键词：

D O I：

10.2514/2.914

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

A block implicit lower-upper symmetric Gauss-Seidel (LU-SGS) approximate factorization scheme is developed and implemented for unstructured grids of arbitrary topology including viscous adaptive Cartesian grids. CPU times and memory requirements for the block LU-SGS (BLU-SGS), the original LU-SGS, and a fully implicit scheme (FIS) with a preconditioned conjugate gradient squared solver for several representative test examples are compared. Computational results showed that the block LU-SGS scheme requires about 20-30 % more memory than the original LU-SGS but converges many times faster. The BLU-SGS scheme has a convergence rate competitive to and in many cases faster than the FIS while requiring much las memory.

引用

页码：2238 / 2245

页数：8

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