基于最小生长地面结构法的离散结构拓扑优化

A. Ghoddosian, Mojtaba Riyahi Vezvari, M. S. Azqandi, Mohammad Amin Karimi
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引用次数: 2

摘要

在离散结构拓扑优化领域的先前工作中,在大多数情况下,算法的起点是由所有成员组成的结构(基础结构)。在这种情况下,需要过多的计算来获得结构的最佳拓扑。为了克服结构拓扑优化的不足,提出了最小生长地面结构法(MGGSM)。该方法由三个阶段组成。在第一阶段,构造了最小稳定结构。在第二阶段,通过应用增长思想,该结构成为可行和可接受的结构,在第三阶段,使用元启发式优化方法来获得结构的最佳拓扑。MGGSM与标准示例的其他方法获得的结果之间的比较表明了MGGSM算法获得最佳状态的效率。
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Topology optimisation of the discrete structures with the minimum growing ground structure method
In previous works in the field of topology optimisation of discrete structures, the starting point of the algorithm in the most cases is a structure that consists of all members (ground structure). In this case, too much computing is needed to obtain optimum topology of the structure. In order to overcome this disadvantage of the structural topology optimisation, the minimum growing ground structure method (MGGSM) was proposed. The method consists of three phases. In the first phase, the minimum stable structure is constructed. In the second phase, this structure, by applying the growth idea becomes a feasible and acceptable structure, and in the third phase, a meta-heuristic optimisation method is used to obtain the optimal topology of the structure. The comparison between the results obtained by the MGGSM and other methods for standard examples shows the efficiency of the MGGSM algorithm to obtain the optimum state.
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来源期刊
International Journal of Structural Engineering
International Journal of Structural Engineering Engineering-Civil and Structural Engineering
CiteScore
2.40
自引率
23.10%
发文量
24
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