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Preliminary Structural Design Using Topology Optimization with a Comparison of Results from Gradient and Genetic Algorithm Methods

机译:使用拓扑优化的初步结构设计以及梯度和遗传算法方法的结果比较

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In this paper, genetic algorithm based and gradient-based topology optimization is presented in application to a real hardware design problem. Preliminary design of a planetary lander mockup structure is accomplished using these methods that prove to provide major weight savings by addressing the structural efficiency during the design cycle. This paper presents two alternative formulations of the topology optimization problem. The first is the widely-used gradient-based implementation using commercially available algorithms. The second is formulated using genetic algorithms and internally developed capabilities. These two approaches are applied to a practical design problem for hardware that has been built, tested and proven to be functional. Both formulations converged on similar solutions and therefore were proven to be equally valid implementations of the process. This paper discusses both of these formulations at a high level.
机译:本文提出了一种基于遗传算法和基于梯度的拓扑优化方法,以解决实际的硬件设计问题。行星着陆器模型的初步设计是通过这些方法完成的,这些方法通过解决设计周期中的结构效率证明可以大大减轻重量。本文介绍了拓扑优化问题的两个替代公式。第一种是使用市售算法的,基于梯度的,广泛使用的实现。第二种是使用遗传算法和内部开发的功能制定的。这两种方法适用于针对已构建,测试并证明具有功能的硬件的实际设计问题。两种公式都汇聚在相似的解决方案上,因此被证明是该过程的同等有效实施。本文从高层次讨论了这两种公式。

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