• Chinese Journal of Ship Research
  • Vol. 19, Issue 6, 108 (2024)
Zhenrong LI1,2, Lijuan XIA1,2, and Shuo FENG1,2
Author Affiliations
  • 1State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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    DOI: 10.19693/j.issn.1673-3185.03553 Cite this Article
    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 Copy Citation Text show less
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    分类数量比例/%
    训练集19 20080
    验证集2 40010
    测试集2 40010
    Table 1. Composition of the dataset
    SIMP法获得的拓扑构型真实结果UNet 预测结果IoU评估
    Table 2. IoU evaluation of partial test data
    体积分数约束值拓扑构型
    SIMP法UNet法
    13%
    22%
    27%
    Table 3. Comparison of topology configurations of UNet and SIMP method
    单个算例SIMP拓扑优化时长/s算例个数生成数据集总时长/h
    1786 000297
    Table 4. Dataset creation time
    方法静力计算时长/s拓扑优化计算时长/s计算总时长/s
    SIMP178178
    UNet50.75.7
    Table 5. The comparison of computational time between UNet and SIMP methods in the application scenarios
    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
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