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| Concurrent topology optimization of hierarchical stiffened thin-walled structures |
| Received:May 15, 2021 Revised:June 08, 2021 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20210515410 |
| KeyWord:hierarchical structure topology optimization thin-walled structure stiffened shell |
| Author | Institution |
| 王博 |
大连理工大学 工业装备结构分析国家重点实验室, 大连 |
| 周子童 |
大连理工大学 工业装备结构分析国家重点实验室, 大连 |
| 周演 |
大连理工大学 工业装备结构分析国家重点实验室, 大连 |
| 郝鹏 |
大连理工大学 工业装备结构分析国家重点实验室, 大连 |
| 石云峰 |
大连铭云科技有限公司, 大连 |
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| Abstract: |
| With the advanced targets of high stiffness and high stability of new generation aerospace equipment's main bearing thin-walled structures pursuing extreme lightweight design, the traditional structure form and design methods are difficult to meet design requirements of lightweight and high bearing capacity. Therefore, this paper proposed a hierarchical topology optimization method of stiffened shells. The main-stage sparse stiffener and the secondary-stage dense lattice are employed to reinforce the global and local properties of the structures, expanding the design domain and effectively improving the utilization of materials. To realize this design, the main-stage stiffener is obtained by Simplified Isotropic Material with Penalization method and the secondary-stage lattice is obtained by two proposed methods based on an improved homogenization method, and a hierarchical concurrent topology optimization framework is established based on material interpolation model to obtain the main-stage stiffener layout and secondary-stage lattice configuration simultaneously in a single topology optimization procedure. Based on the proposed method, the paper shows two examples of stiffness and stability design. The results show that the hierarchical concurrent topology optimization method can search for an optimal overall structural form according to the bearing conditions and design targets, display a noteworthy bearing advantage over traditional single-level design under the same mass, and prove the advantage of the proposed method. |
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