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Topology optimization for compliant mechanisms, using evolutionary-hybrid algorithms and application to the design of auxetic materials

机译:使用进化混合算法对顺应性机构进行拓扑优化,并将其应用于发胶材料的设计

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Designing micro-structures that lead to materials with negative Poisson's ratio, the so-called auxetics, is studied here with techniques of topology optimization for compliant mechanisms. Compliant mechanisms are monolithic structures that are able to deliver two or more different motions depending on the applied loading. Single and multi-objective topology optimization problems for the design of compliant mechanisms are formulated. This formulation together with simple homogenization thoughts links the behavior of the flexible microstructure with the overall, homogenized continuum and, in particular, the negative Poisson's ratio effect (auxetic material). Due to the local minima that arise, iterative local search methods are not very effective. On the other hand genuine global optimization algorithms may become too expensive, due to the large number of design variables. A hybrid method based on global optimization algorithms such as Particle Swarm Optimization (PSO) and Differential Evolution (DE), using an iterative local search method as an evaluation tool is proposed and tested. The iterative local method is based on discretization of the design space with truss elements.
机译:本文使用拓扑优化技术对顺应性机构进行研究,设计出导致泊松比为负的材料的微观结构,即所谓的“动力学”。顺应机构是整体结构,其能够根据所施加的载荷来传递两个或更多个不同的运动。提出了用于顺应性机制设计的单目标和多目标拓扑优化问题。此公式与简单的均质化思想一起将柔性微结构的行为与整体均质化的连续体(尤其是负泊松比效应)(膨胀材料)联系在一起。由于出现了局部最小值,因此迭代局部搜索方法不是很有效。另一方面,由于大量的设计变量,真正的全局优化算法可能变得过于昂贵。提出并测试了一种基于全局优化算法(例如粒子群优化(PSO)和差分进化(DE))的混合方法,该方法使用迭代局部搜索方法作为评估工具。迭代局部方法基于使用桁架元素离散设计空间的方法。

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