Deflated preconditioned conjugate gradient solvers for linear elasticity

被引:14
|
作者
Aubry, R. [1 ,2 ]
Mut, F. [1 ]
Dey, S. [2 ]
Loehner, R. [1 ]
机构
[1] George Mason Univ, Coll Sci, Dept Computat & Data Sci, CFD Ctr, Fairfax, VA 22030 USA
[2] USN, Res Lab, Washington, DC 20375 USA
关键词
iterative solvers; preconditioned conjugate gradient; deflation; elasticity; subdomain agglomeration; RIGID-BODY MODES; MULTIGRID METHOD; SHARED-MEMORY; FETI METHOD; AGGREGATION; CONVERGENCE; STRATEGIES; DP;
D O I
10.1002/nme.3209
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Extensions of deflation techniques previously developed for the Poisson equation to static elasticity are presented. Compared to the (scalar) Poisson equation (J. Comput. Phys. 2008; 227(24):1019610208; Int. J. Numer. Meth. Engng 2010; DOI: 10.1002/nme.2932; Int. J. Numer. Meth. Biomed. Engng 2010; 26(1):7385), the elasticity equations represent a system of equations, giving rise to more complex low-frequency modes (Multigrid. Elsevier: Amsterdam, 2000). In particular, the straightforward extension from the scalar case does not provide generally satisfactory convergence. However, a simple modification allows to recover the remarkable acceleration in convergence and CPU time reached in the scalar case. Numerous examples and timings are provided in a serial and a parallel context and show the dramatic improvements of up to two orders of magnitude in CPU time for grids with moderate graph depths compared to the non-deflated version. Furthermore, a monotonic decrease of iterations with increasing subdomains, as well as a remarkable acceleration for very few subdomains are also observed if all the rigid body modes are included. Copyright (c) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码:1112 / 1127
页数:16
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