Topology optimization analysis of VLCC transverse web based on UNet deep learning

Topology optimization analysis of VLCC transverse web based on UNet deep learning

ObjectiveThis paper proposes a hull transverse web topology optimization method based on UNet for application in the optimization design of complex ship structures. MethodsTaking the transverse web of a very large crude carrier (VLCC) as the research object, a UNet topology optimization surrogate mo...

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Bibliographic Details
Main Authors: Zhenrong LI, Lijuan XIA, Shuo FENG
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2024-12-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
naval architecture
artificial intelligence
shape optimization
topology optimization
deep learning
unet
surrogate model
data mapping
ship transverse web
Online Access:http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03553
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http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03553

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