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Abstract Design of a ship hull form is very complex and time consuming process. It starts from the selection of a parent ship, and a designer modifies the selected ship to meet the owner’s and Class requirements. When the hull form is modified, the hydrodynamic analysis is conducted. If the hydrodynamic performance is acceptable, the verification is done through the model test. If the hydrodynamic performance is not acceptable, a designer modifies the hull form manually until it satisfies a certain requirement. During this process, a lot of time is consumed, and it requires the designer’s experiences. The modification methods can be different, and the quality of the hull form can be varied from the designer’s proficiency. In this study, the optimization method is proposed to obtain the optimized hull form automatically using the reinforcement learning that is one of the deep learning methods. The smallest total resistance of a hull form is used as the reward in the reinforcement learning, but the other hydrodynamic performance values can be used as the rewards. The KVLCC2 tanker that is a public hull form is used to get the optimal hull form, and the result shows that the proposed method can generate the optimal hull form. It is expected that the proposed method can be used in the hull form design to reduce the time and enhance the performance.
Publication Date 2019-07-08

Min-Jae Oh, Myung-Il Roh, Young-Soo Seok, and Sung-Jun Lee, "Optimization of a Ship Hull Form using Deep Learning", Proceedings of ACDDE(Asian Conference on Design and Digital Engineering) 2019, Penang, Malaysia, 2019.07.07-10


List of Articles
번호 분류 제목 Publication Date
365 Domestic Conference 전도현, 노명일, 이혜원, 하지상, 진은석, 김인일, "딥 러닝 기반 자율 운항 선박의 충돌 회피 방법 연구", 2019년도 대한조선학회 추계학술발표회, 경주, pp. 429, 2019.10.24-26 file 2019-10-24
364 Domestic Conference 김진혁, 노명일, 공민철, "증강 현실 기술을 이용한 장비의 원격 운영 및 유지 보수 방법", 2019년도 대한조선학회 추계학술발표회, 경주, pp. 196, 2019.10.24-26 file 2019-10-24
363 Domestic Conference 이원재, 노명일, 이성준, 하지상, 석영수, 오민재, "선박 운항 시 주변 인지를 위한 물체 탐지, 추적 및 거리 추정 방법", 2019년도 대한조선학회 추계학술발표회, 경주, pp. 431, 2019.10.24-26 file 2019-10-24
362 Domestic Conference 하지상, 노명일, 이혜원, 은종호, 박종진, "실시간 AIS 데이터를 이용한 해상 충돌 회피 알고리즘 연구", 2019년도 대한조선학회 추계학술발표회, 경주, pp. 430, 2019.10.24-26 file 2019-10-25
361 International Conference Luman Zhao, Myung-Il Roh, Hye-Won Lee, Do-Hyun Chun, Sung-Jun Lee, "A Collision Avoidance Method of Multi-ships Based on Deep Reinforcement Learning Considering COLREGs," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 85-88, 2019.09.24-26 file 2019-09-24
360 Domestic Conference 노명일, "스마트 함정의 구현을 위한 설계 기술 연구", 함정기술연구회 하계연구발표회, 진해, 2019.07.18-19 2019-07-18
359 Domestic Conference 오민재, 노명일, 김범수, 김용환, "선박의 운항 효율을 고려한 선형 변환 방법", 2019년도 대한조선학회 추계학술발표회, 경주, pp. 480, 2019.10.24-2019.10.25 file 2019-10-24
358 International Conference Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Crane Movement Control for Stability of Block Erection Based on Deep Reinforcement Learning", MIM 2019, Berlin, Germany, 2019.08.28-30 file 2019-08-28
357 International Conference Do-Hyun Chun, Myung-Il Roh, Seung-Ho Ham, Hoon-Kyu Oh, Sang-Ok Lee, "Optimum Layout Design of Wedges of Panel for an LNG Tank Considering Amount of Resin Ropes", Proeedings of ISOPE 2019, Honolulu, Hawaii, pp. 1289-1292, 2019.06.16-21 file 2019-06-19
» International Conference Min-Jae Oh, Myung-Il Roh, Young-Soo Seok, and Sung-Jun Lee, "Optimization of a Ship Hull Form using Deep Learning", Proceedings of ACDDE 2019, Penang, Malaysia, 2019.07.07-10 file 2019-07-08
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