Chinese Journal of Ship Research, Volume. 19, Issue 6, 108(2024)
Topology optimization analysis of VLCC transverse web based on UNet deep learning
Figures & Tables(17)
![[in Chinese]](/Images/icon/loading.gif){kind=icon}
Table 1. Composition of the dataset
Table 2. IoU evaluation of partial test data
Table 3. Comparison of topology configurations of UNet and SIMP method
View tableView in ArticleTable 3. Comparison of topology configurations of UNet and SIMP method
体积分数 约束值 拓扑构型 SIMP法 UNet法 13% 22% 27%
Table 4. Dataset creation time
Table 5. The comparison of computational time between UNet and SIMP methods in the application scenarios
View tableView in ArticleTable 5. The comparison of computational time between UNet and SIMP methods in the application scenarios
方法 静力计算时长/s 拓扑优化计算时长/s 计算总时长/s SIMP − 178 178 UNet 5 0.7 5.7
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Zhenrong LI, Lijuan XIA, Shuo FENG. Topology optimization analysis of VLCC transverse web based on UNet deep learning[J]. Chinese Journal of Ship Research, 2024, 19(6): 108
Paper Information
Category: Theory and Method of Intelligent Design for Ship and Ocean Engineering
Received: Sep. 11, 2023
Accepted: --
Published Online: Mar. 14, 2025
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