一种改进的节点排序方法以减少有限元中的带宽

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY Journal of the Serbian Society for Computational Mechanics Pub Date : 2018-10-31 DOI:10.24874/jsscm.2018.12.01.09
Azam Mohseni, H. Moslemi, M. R. Seddighian
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引用次数: 0

摘要

在有限元方法中,减小稀疏对称矩阵的带宽是有效求解的关键。这个问题可以模拟为图上的顶点编号问题,其中每条边表示有限元网格中两个相连的节点。为了减少稀疏对称矩阵的带宽,提出了一种对标准图和随机结构图进行节点排序的新算法。提出了一种伪外围节点定位的快速搜索算法。该算法的带宽小于或等于现有的Cuthill-Mckee (CM)算法和改进的Gibbs-Poole - Stockmeyer (MGPS)算法。使用这种方法,与现有算法的结果相比,在基准测试的实例中,带宽减少了50%以上。
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AN IMPROVED NODAL ORDERING FOR REDUCING THE BANDWIDTH IN FEM
In finite element method, reducing the bandwidth of sparse symmetric matrices plays a key role to have an efficient solution. This problem can be simulated as a vertex numbering problem on a graph, where each edge represents two connected nodes in finite element mesh. In this paper, a new algorithm is proposed for a nodal ordering of the standard and randomly structured graphs to reduce the bandwidth of sparse symmetric matrices. A fast search algorithm for the location of pseudo-peripheral nodes is presented. This algorithm results in a bandwidth smaller than or equal to some existing algorithms such as the Cuthill–Mckee (CM) and the modified Gibbs–Poole– Stockmeyer (MGPS). With this approach, the bandwidth is reduced in more than 50% of instances of benchmark tests compared with the outcomes of the existing algorithms.
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