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Abstract The CFD (Computational Fluid Dynamics) analysis is normally used to evaluate the hydrodynamic performance of hull forms in the process of hull form design. The hull form candidates are improved through the iterative process of editing them if their performance is not good enough. However, since the CFD analysis is computationally expensive, the estimation of the hydrodynamic performance using it requires a long time. Due to the limited time for the design, the hull form iterations are not enough to find the optimal hull form. To solve this problem, we proposed a method to estimate the hydrodynamic performance of the hull forms using deep learning. The use of deep learning has the disadvantage that it takes a long time to accumulate data and learn but has the advantage that it takes only a very short time to run the model and obtain the result once training is complete. In this study, the hull form of a small ship was first parameterized with dozens of parameters to generate various hull forms. Then, a number of hull forms were created by randomly generating thousands of parameter sets that determine the hull form. Finally, the hydrodynamic performance for the ground truth was derived by performing CFD analysis on the hull forms. We considered multiple deep learning models to estimate the performance more accurately and selected the best model among them. The proposed method was applied to a small ship. As a result, with the proposed model, the hydrodynamic performance of the hull forms can be estimated shortly with a certain level of error.
Publication Date 2022-11-06

Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, "Estimation of the Hydrodynamic Performance of the Parameterized Hull Forms Using Deep Learning", Proceedings of G-NAOE 2022, Changwon, Korea, 2022.11.06-10


List of Articles
번호 분류 제목 Publication Date
50 International Conference Seung-Ho Ham, Myung-Il Roh, Hye-Won Lee, "Lifting Design for Ships and Offshore Structures Using Non-interpenetration Constraints and Flexible Multibody System Dynamics", Proceedings of ISOPE 2018, Sapporo, Japan, pp. 910-913, 2018.06.10-15 file 2018-06-11
49 International Conference Sung-Jun Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Il-Guk Woo, "Image-based Ship Detection and Classification for Unmanned Surface Vehicle Using Real-Time Object Detection Neural Networks", Proceedings of ISOPE 2018, Sapporo, Japan, 2018.06.10-15 file 2018-06-13
48 International Conference Sung-Woo Park, Myung-Il Roh, Min-Jae Oh, Seong-Hoon Kim, Won-Joon Lee, In-Il Kim, Chang-Yong Kim, "Estimation Model of Energy Efficiency Operational Indicator Using Public Data Based on Big Data Technology", Proceedings of ISOPE 2018, Sapporo, Japan file 2018-06-14
47 International Conference Ki-Su Kim, Myung-Il Roh, Seung-Min Lee, "Flooding Analysis Based on PBD (Position Based Dynamics) for Ships and Offshore Structures", Proceedings of ISOPE 2018, Sapporo, Japan, pp. 955-957, 2018.06.10-15 file 2018-06-14
46 International Conference Seung-Ho Ham, Myung-Il Roh, Hye-Won Lee, "Collision Detection and Response between an LPG Tank and a Hull Structure Using Non-Interpenetration Constraints", Proceedings of the 9th ACMD 2018, Xian, China, 2018.08.19-23 file 2018-08-20
45 International Conference Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Modeling of a Mooring System Based on Flexible Multibody Dynamics Considering Contact with Seabed", Proceedings of the 9th ACMD 2018, Xian, China, 2018.08.19-23 file 2018-08-20
44 International Conference Seong-Yeob Jeong, Kuk-Jin Kang, Hyun-Soo Kim, Jung-Joong Kim, Myung-Il Roh, "A Study of Ship Safe Voyage Planning in the Northern Sea Route", Proceedings of PACOMS 2018, Jeju, Korea, 2018.10.14-17 file 2018-10-15
43 International Conference Seung-Ho Ham, Myung-Il Roh, Hye-Won Lee, "Integrated Simulation Methods Based on Multibody Dynamics in Ships and Offshore Structures", Proceedings of the 32nd Asian-Pacific TEAM 2018, Wuhan, China, pp. 592-596, 2018.10.15-18 file 2018-10-17
42 International Conference Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Do-Hyun Chun, In-Il Kim, Chang-Yong Kim, Won-Joon Lee, "Estimation of Ship Energy Efficiency from Big Data Analysis", Proceedings of the 32nd Asian-Pacific TEAM 2018, Wuhan, China, pp. 262-264, 2018.10.15-18 file 2018-10-17
41 International Conference Seung-Ho Ham, Myung-Il Roh, Jong-Hyuk Lee, Sung-Jun Lee, "Multi-purpose Simulator for Ships and Offshore Structure", Proceedings of ACDDE 2018, Okinawa, Japan, 2018.11.1-3 file 2018-11-01
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