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Parametric Optimization for a Tapered Deployable Mast in an Integrated Design Environment

机译:集成设计环境中锥形可部署桅杆的参数优化

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Deployable mast has a wide range of applications in aerospace industry. As lower weight of deployable mast can greatly save the cost of launching and higher stiffness can improve the loading capacity. This paper aims at designing a tapered deployable truss with lower weight and higher stiffness. The conceptual design and mobility analysis of tapered deployable module are first introduced. Then finite element model is then presented. The proposed structure is optimized towards the goal of maximizing the fundamental frequency and minimizing the structural weight to enhance its stiffness. In the integrated design environment of iSIGHT, Non-dominated Sorting Genetic Algorithm (NSGA-II) is chosen as the optimum tool for this dual objectives optimization issue with four constraints. The Pareto optimal solutions of this optimum problem are found after optimization. Simulation shows that the optimum value of design variables have the capability of enhancing the fundamental frequency by 17% and reducing structure weight by 8%.
机译:可部署桅杆在航空航天工业中具有广泛的应用。随着可展开的桅杆的较低重量可以极大地节省发射成本,更高的刚度可以提高装载能力。本文旨在设计具有较低重量和更高刚度的锥形可展开桁架。首先介绍锥形可展开模块的概念设计和移动性分析。然后呈现有限元模型。所提出的结构朝向最大化基本频率并最小化结构重量以提高其刚度的目标进行优化。在ISIGHT的集成设计环境中,选择非主导的分类遗传算法(NSGA-II)作为具有四个约束的双目标优化问题的最佳工具。优化后发现该最佳问题的Pareto最佳解决方案。仿真表明,设计变量的最佳值具有将基频提高17%并降低结构重量8%的能力。

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