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Decomposed surrogate based optimization of carbon-fiber bicycle frames using Optimum Latin Hypercubes for constrained design spaces

机译:基于分解代理的碳纤维自行车车架优化,用于约束设计空间的最佳拉丁超立方体

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摘要

Ideal bicycle frames need to be lightweight, laterally and torsionally stiff, withstand high impact forces and be reliable against fatigue failure. These characteristics can be measured by real life longevity tests. In the present work a bespoke optimization software framework for the design of optimal bicycle frames with respect to the EFBe standard taking into account rider specific demands is developed. For improved efficiency the size and shape optimization are decomposed. The optimization scheme is realized by means of surrogate based optimization where the design of experiments are Optimum Latin Hypercubes created in the feasible portion of the design space.
机译:理想的自行车车架必须轻巧,横向和扭转刚度高,承受高冲击力并可靠地抵抗疲劳破坏。这些特性可以通过实际寿命测试来测量。在本工作中,开发了一种定制优化软件框架,用于根据EFBe标准设计最佳自行车车架,并考虑到骑手的特定需求。为了提高效率,分解尺寸和形状优化。优化方案是通过基于代理的优化来实现的,其中实验设计是在设计空间的可行部分中创建的最佳拉丁超立方体。

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