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Yoo-Chul Kim, Kwang-Soo Kim, Seongmo Yeon, Young-Yeon Lee, Gun-Do Kim and Myoungsoo Kim
This study proposes machine learning-based prediction models to estimate hull form performance. The developed models can predict the residuary resistance coefficient (CR" role="presentation">????CR
C
R
), wake fraction (wTM" role="presentation">??????wTM...
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Yan Xing-Kaeding and Apostolos Papanikolaou
The present study deals with the local optimization of the stern area and of the propulsive efficiency of a battery-driven, fast catamaran vessel. The adopted approach considers a parametric model for the catamaran?s innovative transom stern and a QCM (Q...
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Dagang Zhao, Chunyu Guo, Jianfeng Lin, Zuotian Zhang and Xue Bai
In this study, the self-propulsion performance of a ship model with double-L-type podded propulsors was predicted. Additionally, a conversion method for the performance of a full-scale ship was established based on the correction method published by the ...
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