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Minimal cycle basis of graph products for the force method of frame analysis

机译:框架分析力法的图形积的最小循环基础

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摘要

For an efficient force method of frame analysis, the formation of localized self-equilibrating systems is an important issue. Such systems can be constructed on minimal cycle basis of the graph model of the structure. In this paper, algorithms are presented for the formation of minimal cycle bases of graph products corresponding to sparse cycle adjacency matrices, leading to the formation of highly sparse flexibility matrices. The algorithms presented employ concepts from three graph products namely Cartesian, strong Cartesian and lexicographic products. Though the formulation for the first two products exist, however, efficient implementations are made in this paper. The formulation for the generation of minimal cycle basis is extended to the lexicographic product.
机译:对于有效的框架分析力方法而言,局部自平衡系统的形成是一个重要的问题。可以在结构的图形模型的最小循环基础上构建此类系统。在本文中,提出了用于形成与稀疏循环邻接矩阵相对应的图乘积的最小循环基的算法,从而导致了高度稀疏的灵活性矩阵的形成。提出的算法采用了三种图形乘积的概念,即笛卡尔乘积,强笛卡尔乘积和字典词典乘积。尽管存在前两种产品的公式,但是,本文进行了有效的实现。用于生成最小循环基础的公式扩展到词典编目产品。

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