Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks

Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks

Designing a hull form typically involves beginning with a reference hull form based on ship owner requirements, editing the hull form to satisfy the requirements, and determining the most efficient hull form. Numerical analyses using Computational Fluid Dynamics (CFD) were employed to assess the per...

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Bibliographic Details
Main Authors: Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:International Journal of Naval Architecture and Ocean Engineering
Subjects:
Hull form design
Characteristic curves
Hydrodynamic performance
Deep learning
Deep Neural Network (DNN)
Online Access:http://www.sciencedirect.com/science/article/pii/S2092678224000153
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