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Multiobjective Optimization of Truss Topology by Linear/Sequential Linear Programming Method

Multiobjective Optimization of Truss Topology by Linear/Sequential Linear Programming Method
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摘要 The present paper deals with a multiobjective optimization of truss topology by either Sequential Linear Programming (SLP) method or Linear Programming (LP) method. The ground structure approach is often used to solve this kind of design problems. In this paper, the topology optimization is formulated as a Multiobjective Optimization Problem (MOP), which is to find the cross-sectional area of truss members, such that both the total volume of members and the weighted mean compliance are minimized. Based upon the Karush-Kuhn-Tucker conditions (the optimality condition), the Pareto optimal front of this problem can be obtained theoretically. The truss topology optimization under multiple load cases can be solved by the SLP. On the other hand, the LP such as the Simplex method or the interior point method can be applied to find one of the Pareto optimal solutions of the MOP under single load case. The applications of either the SLP or the LP are illustrated in numerical examples with discussion on characteristics of design results.
出处 《Journal of Mechanics Engineering and Automation》 2012年第10期585-593,共9页 机械工程与自动化(英文版)
关键词 Topology optimization multiobjective optimization multi load cases single load case. 多目标优化问题 结构拓扑优化 线性规划法 Kuhn-Tucker条件 桁架 序列 设计问题 最优性条件
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参考文献14

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