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Dongkeun Lee, Chaeog Lim, Sang-jin Oh, Minjoon Kim, Jun Soo Park and Sung-chul Shin
Capsizing accidents are regarded as marine accidents with a high rate of casualties per accident. Approximately 89% of all such accidents involve small ships (vessels with gross tonnage of less than 10 tons). Stability calculations are critical for asses...
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Qing Ye, Yongpeng Ou, Guo Xiang and Junjie Chen
Over the years, air lubrication technology has been widely applied to maritime vessels, demonstrating its significant energy-saving and emission-reducing effects. However, the application of this technology in inland waterway transportation faces unique ...
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Haichao Chang, Chengjun Wang, Zuyuan Liu, Baiwei Feng, Chengsheng Zhan and Xide Cheng
Hull form optimization becomes prone to the curse of dimensionality as the number of design variables increases. The traditional sensitivity analysis method requires massive computational fluid dynamics (CFD) computations and analyzing the effects of all...
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Mina Tadros, Manuel Ventura and C. Guedes Soares
This paper presents a review of the different methods and techniques used to optimize ship hulls over the last six years (2017?2022). This review shows the different percentages of reduction in ship resistance, and thus in the fuel consumption, to improv...
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Lei Mei, Wenhui Yan, Junwei Zhou and Weichao Shi
Recent studies indicate that bow foil biomimetic systems can significantly improve ship propulsion in waves. In this paper, the DTMB 5415 ship model is taken as the object and a semi-active elastic flapping foil is proposed to install at its bow underwat...
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Min-Kyung Lee and Inwon Lee
In this study, deep neural network (DNN) and transfer learning (TL) techniques were employed to predict the viscous resistance and wake distribution based on the positions of flow control fins (FCFs) applied to containerships of various sizes. Both metho...
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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
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Shenglong Zhang
A high-accuracy objective function evaluation method is crucial in ship hull form optimization. This study proposes a novel approximate ship hull form optimization framework using the deep learning technology, deep belief network algorithm. To illustrate...
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Ermina Begovic, Carlo Bertorello, Fabio De Luca and Barbara Rinauro
This paper reviews a state-of-the-art zero emission propulsion system for a battery-powered small craft. The main aspects considered are the available propulsion systems, energy storage, and dock battery charging. This underlying activity is part of the ...
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Hui Zhou, Baiwei Feng, Zuyuan Liu, Haichao Chang and Xide Cheng
Recently, the NURBS technique has been widely used in the 3D design software for ships. However, in most research, the NURBS technique is only applied to the mathematical representation of hull curves and surfaces, and the parametric deformation of hull ...
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