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肖映雄,陈鹏,舒适.两类网格结构模型的预处理方法[J].计算力学学报,2012,29(1):111~117
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两类网格结构模型的预处理方法
Preconditioning methods for discrete models of two types of lattice structures
投稿时间:2010-08-20  修订日期:2011-01-04
DOI:10.7511/jslx20121020
中文关键词:  网格结构  预条件子  代数多层网格  条件数  近似连续方程
英文关键词:lattice structures  preconditioner  algebraic multigrid  condition numbers  approximately continuous equations
基金项目:国家自然科学基金(10972191);国家自然科学基金 重点(11031006);湖南省高校科技创新团队支持 计划;湖南省教育厅优秀青年(09B100)资助项目.
作者单位E-mail
肖映雄 湘潭大学 土木工程与力学学院, 湘潭 411105 xyx610xyx@yahoo.com.cn 
陈鹏 湘潭大学 数学与计算科学学院, 湘潭 411105  
舒适 湘潭大学 数学与计算科学学院, 湘潭 411105  
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中文摘要:
      针对参考节点分别为q=3和q=4的网格结构模型,设计了两种预处理方法:以块对角逆为预条件子的共轭梯度法(BPCG)及以块下三角逆为预条件子的PGMRES法。数值结果表明,BPCG法对q=3具有很好的求解效率和鲁棒性,但对q=4的情形,特别是当α很小时,其求解效率将变得很差。当α很小时,以块下三角逆为预条件子的PGMRES法对求解q=4的蜂窝状结构在计算CPU和算法稳定性等方面均全面占优。在这两种预处理方法中,利用了基于标量椭圆问题的GAMG法求各个子块矩阵的逆,以提高内迭代运算效率。近似连续方程的建立为内迭代方法的合理性提供了有效的理论支撑。
英文摘要:
      In this paper,we propose two kinds of preconditioning methods for the discrete models of lattice structures with 3 or 4 reference nodes.One is the block preconditioned conjugate gradient method (BPCG) with a block diagonal inverse as a preconditioner,and another is the preconditioning GMRES method (PGMRES) based on the block lower triangular inverse as a preconditioner.The numerical results show that the BPCG method is of good efficiency and robustness for the lattice structures with 3 reference nodes,but for honeycomb lattices,especially when α is very small,the efficiency of this method becomes poor.In this case,the PGMRES method is best both in the calculation of the stability and CPU times.In order to improve the efficiency of the inner iterations,we use the PCG method with GAMG preconditioner based on scalar elliptic problems to find the inverse of each sub-block matrix.In addition,the approximately continuous models of lattice structure provide some theoretical basis for the reliability of the inner iterations.
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