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基于图形法的仿生拓扑优化方法

丁友 周洲 祝小平

丁友, 周洲, 祝小平. 基于图形法的仿生拓扑优化方法[J]. 航空动力学报, 2021, 36(11): 2389-2399. doi: 10.13224/j.cnki.jasp.20210013
引用本文: 丁友, 周洲, 祝小平. 基于图形法的仿生拓扑优化方法[J]. 航空动力学报, 2021, 36(11): 2389-2399. doi: 10.13224/j.cnki.jasp.20210013
DING You, ZHOU Zhou, ZHU Xiaoping. Bionic topology optimization method based on graph method[J]. Journal of Aerospace Power, 2021, 36(11): 2389-2399. doi: 10.13224/j.cnki.jasp.20210013
Citation: DING You, ZHOU Zhou, ZHU Xiaoping. Bionic topology optimization method based on graph method[J]. Journal of Aerospace Power, 2021, 36(11): 2389-2399. doi: 10.13224/j.cnki.jasp.20210013

基于图形法的仿生拓扑优化方法

doi: 10.13224/j.cnki.jasp.20210013
基金项目: 民机专项(MJ-2015-F-009); 陕西省重点研发计划(2018ZDCXL-GY-03-04,2021ZDLGY09-08,2021GY-339); 陕西省自然科学基金(2019JM-044)
详细信息
    作者简介:

    丁友(1989-),男,博士生,主要从事飞行器结构设计及仿生优化方面的研究。

  • 中图分类号: V224

Bionic topology optimization method based on graph method

  • 摘要: 针对图形系统自动生成图形拓扑形式的优势,提出了一种以隐式方式表征结构拓扑形式的分步拓扑优化设计方法。该分步优化方法首先以基结构法(ground structure method)的计算结果为基础,并通过均匀化方法得到设计区域内的离散拓扑信息,利用第一步所得的拓扑数据指导分形系统中每一级新增拓扑结构的生长方向,以类似细胞分裂生长的形式完成整体结构拓扑形式生成。最后以参数化建模方式完成模型的结构有限元的批量计算,并结合进化算法,完成对设计模型的优化。其中第一个案例通过本文仿生方法在多目标优化方法下得到了近似Michell结构的最优拓扑结构,第二个方案中机翼蒙皮的屈曲载荷系数提升了10.61%,并且质量降低了10.85%,验证了本文方法在类平面结构拓扑优化方面的可行性。

     

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出版历程
  • 收稿日期:  2021-01-15
  • 刊出日期:  2021-11-28

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