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Abstract In rational ship structural designs, not only the ultimate and fatigue limit states, but also the accidental limit state should be properly considered. However, in many cases,when determining the arrangements and scantlings of a ship’s structural members, the accidental collision loadings are not considered in the structural design. In the rules of the relevant classification societies, accident collision scenarios are not specified, and only the extent of damage due to collisions and groundings are provided. Therefore, structural designers are presented with difficulties when considering accidental limit states. A probabilistic approach is desirable for more rational design.However, in order to performthis type of approach in actual designs, many scenarios are required, and the uncertainty in the prediction of the occurrence probability of each scenario seems very high. In this study, however, in order to realize a scenario-based approach for ship structural designs against collision, the characteristics of a double-hull tanker in terms of collision resistance are provided based upon rigorous parametric study results. For the numerical calculations of this parametric study, a commercial package was employed. Prior to the parametric study, the numerical method was substantiated with the collision test results of this study.
Publication Date 2013-06-17

Sang-Rai Cho, Jong-Min Kim, Young-Hun Kim, Joo-Sung Lee, Myung-Il Roh, "Towards More Rational Design of Ship Structures against Collisions", Proceedings of ICCGS(International Conference on Collision and Grounding of Ships) 2013, Trondheim, Norway, pp. 187-195, 2013.06.17-19


List of Articles
번호 분류 제목 Publication Date
120 International Conference Myung-Il Roh, "Applications of Deep Learning in Ship Design, Production, and Operation Stages", Proceedings of ICDM(International Conference on Decarbonization and Digitalization in Marine Engineering) 2022, Siheung, Korea, 2022.04.28-29 2022-04-29
119 International Conference Jeong-Ho Park, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Jo, Nam-Sun Son, "Detection and Tracking Methods of Maritime Obstacles Using Multiple Cameras", Proceedings of ICDM 2022, Siheung, Korea, 2022.04.28-29 2022-04-28
118 International Conference Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Block Lifting Method with Wire Ropes Based on Deep Reinforcement Learning", Proceedings of ICDM 2022, Si-Heung, Korea, 2022.04.28-29 2022-04-28
117 International Conference Dong-Guen Jeong, Myung-Il Roh, Ki-Su Kim, Jun-Sik Lee, Dae-Hyuk Kim, Wang-Seok Jang, "A Method for Route Planning of Small Ships in Coastal Areas", Proceedings of ICDM 2022, Si-Heung, Korea, 2022.04.28-29 2022-04-28
116 International Conference Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Deep Reinforcement Learning-Based Ship Collision Avoidance Considering Collision Risk", Proceedings of TEAM 2022, Istanbul, Turkey, pp. 268, 2021.12.06-07 file 2021-12-07
115 International Conference Ki-Su Kim, Myung-Il Roh, "Optimization of the Arrangement Design of a Ship Considering the Multiple Performance", Proceedings of ACSMO 2020, Seoul, Korea, pp. 167, 2020.11.23-25 file 2020-11-24
114 International Conference Jisang Ha, Myung-Il Roh, Hye-Won Lee, Jong-Ho Eun, Jong-Jin Park, Hyun-Joe Kim, "A Method of the Collision Avoidance of a Ship Using Real-time AIS Data", Proceedings of ACSMO 2020, Seoul, Korea, pp. 106, 2020.11.23-25 file 2020-11-23
113 International Conference Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Method for the Accurate and Automatic Operation of Offshore Floating Cranes for the Block Erection in Shipyards", Proceedings of OMAE 2020, Held in Virtual Conference, 2020.08.03-07 file 2020-08-05
112 International Conference Jisang Ha, Myung-Il Roh, Jong-Hyeok Lee, Jin-Hyeok Kim, Min-Chul Kong, Seung-Ho Ham, "Integrated Ship Remote Operating System Based on Digital Twin Technology", Proceedings of TEAM 2019, Tainan, Taiwan, pp. 106, 2019.10.14-17 file 2019-10-16
111 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
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