Evolutionary Topological Optimization Method for Local Rib Addition in Single-Layer Shell Structures
This paper investigates the topological optimization of locally reinforced single-layer reticulated shell structures to enhance their economy and overall stability. Using steel consumption as the evaluation index, a topological optimization method based on the evolutionary structural optimization al...
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| Main Author: | |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Shanghai Jiao Tong University
2025-07-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
| Subjects: | |
| Online Access: | https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-7-1019.shtml |
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| Summary: | This paper investigates the topological optimization of locally reinforced single-layer reticulated shell structures to enhance their economy and overall stability. Using steel consumption as the evaluation index, a topological optimization method based on the evolutionary structural optimization algorithm is proposed for single-layer reticulated shell structures. The strain energy is calculated based on the internal force distribution of the structural members, and a grid strength evaluation criterion is established considering the specific characteristics of single-layer reticulated shell structures. In the iterative calculation, pyramids are added to strengthen the grid with excessive strain energy, while new pyramids with insufficient strain energy are removed. The steel consumption and the overall stability of the reticulated shell structure before and after optimization are compared to verify the effectiveness of the structural optimization method. After topological optimization, the locally reinforced single-layer reticulated shell structure exhibits a reduced steel consumption and improved overall stability compared to the initial structure. The results can provide technical references for optimizing the local reinforcement design of single-layer reticulated shell structures, and also provide references for similar structural optimization problems. |
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| ISSN: | 1006-2467 |