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首页> 外文期刊>Structural and multidisciplinary optimization >Optimization of load-carrying and heat-insulating multi-layered thin-walled structures based on bionics using genetic algorithm
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Optimization of load-carrying and heat-insulating multi-layered thin-walled structures based on bionics using genetic algorithm

机译:遗传算法优化基于仿生学的承重绝热多层薄壁结构

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摘要

Topology optimization to minimize the bottom-layer temperature and the structure compliance of the multi-layered thin-walled structure is carried out in this paper. A multi-layered thin-walled structure with improved performances in load-carrying and heat insulation inspired by a species of oceanic gastropods found on a hot and highly pressurized deep-sea floor is proposed. Using genetic algorithm to perform the optimization process, it is proved that the optimal topology under integrated thermal and load conditions is a sandwich structure of three layers similar to the original bionic structure of the oceanic gastropods. Soft layer with good heat insulation is placed as the middle layer, whereas hard layers with fast heat transmission are placed as the top and bottom layers to carry load. The concept of bionic three-layered structure is then applied to the skin design of an airfoil. The analysis for aerodynamic heating of the airfoil with different skin structures shows that the bionic multi-layered structure is an optimal design in both layer thickness and layer sequence.
机译:本文进行了拓扑优化,以最小化底层温度和多层薄壁结构的结构顺应性。提出了一种多层薄壁结构,该结构在高温高压海底发现的一种海洋腹足类动物的启发下,具有改善的承载和隔热性能。利用遗传算法进行了优化,证明了在综合热负荷条件下的最优拓扑结构是类似于海洋腹足动物原始仿生结构的三层三明治结构。具有良好隔热性的软层被放置为中间层,而具有快速传热的硬层被放置为顶层和底层以承载负荷。然后将仿生三层结构的概念应用于机翼的蒙皮设计。对具有不同表皮结构的翼型进行空气动力加热的分析表明,仿生多层结构在层厚和层序上都是最佳设计。

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