ADVANCED DOMAIN DECOMPOSITION METHOD BY LOCAL AND MIXED LAGRANGE MULTIPLIERS

IF 0.3 Q4 MATHEMATICS, APPLIED
Jun-young Kwak, Taeyoung Chun, H. Cho, Sang-Joon Shin, O. Bauchau
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引用次数: 0

Abstract

This paper presents development of an improved domain decomposition method for large scale structural problem that aims to provide high computational efficiency. In the previous researches, we developed the domain decomposition algorithm based on augmented Lagrangian formulation and proved numerical efficiency under both serial and parallel computing environment. In this paper, new computational analysis by the proposed domain decomposition method is performed. For this purpose, reduction in computational time achieved by the proposed algorithm is compared with that obtained by the dual-primal FETI method under serial computing condition. It is found that the proposed methods significantly accelerate the computational speed for a linear structural problem.
基于局部和混合拉格朗日乘子的高级区域分解方法
本文提出了一种改进的面向大规模结构问题的区域分解方法,以提高计算效率。在之前的研究中,我们开发了基于增广拉格朗日公式的区域分解算法,并证明了在串行和并行计算环境下的数值效率。本文采用提出的区域分解方法进行了新的计算分析。为此,在串行计算条件下,将所提算法与双原始FETI方法的计算时间缩短进行了比较。结果表明,所提出的方法显著提高了线性结构问题的计算速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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