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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


  1. Jisang Ha, Myung-Il Roh, Ki-Su Kim, Min-Chul Kong, "Integrated Method for the Arrangement Design of a Ship for Implementing Digital Twin in Design", Proceedings of PRADS 2022, Dubrovnik, Croatia, 2022.10.09-13

  2. 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

  3. 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

  4. Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, Min-Jae Oh, Sejin Oh, "Estimation Model of Hydrodynamic Performance Using Hull Form Variation and Deep Learning", Proceedings of PRADS 2022, Dubrovnik, Croatia, pp.??, 2022.10.09-13

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    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

  6. Ji-Hyun Hwang, Young-Joo Ahn, Joon-Ho Min, Gwang-No Lee, Ho-Jin Jeong, Mung-Yu Kim, Hee-Chang Kim, Myung-Il Roh, Kyu-Yeul Lee, "Application of an Integrated Basic Process Engineering Solution to Generic LNG FPSO Topsides", Proceedings of ISOPE 2009

  7. Ji-Hyun Hwang, Nam-Kug Ku, Joon-Chae Lee, Myung-Il Roh, Kyu-Yeul Lee, "Optimal Synthesis of LNG FPSO Liquefaction Cycles", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2012, Rhodes, Greece, pp. 927-935, 2012.06.17-22

  8. Ji-Hyun Hwang, Ju-Hwan Cha, Seung-Ho Ham, Bo-Ram Kim, Myung-Il Roh, Kyu-Yeul Lee, "Establishment of Offshore Process FEED Method for Oil-Based FPSO Topsides Systems", Proceedings of ISOPE 2009, Osaka, Japan, pp. 144-150, 2009.06.21-26

  9. Ji-Hyun Hwang, Joon-Ho Min, Young-Joo Ahn, Hee-Chang Kim, Myung-Il Roh, Kyu-Yeul Lee, "Optimized Methodology to Build an Integrated Solution to Offshore Topside Process Engineering", Proceedings of ISOPE 2008, Vancouver, Canada, 2008.07.06-11

  10. Jeong-Woo Hong, Seung-Ho Ham, Luman Zhao, Xing Li, Sol Ha, Myung-Il Roh, "Offshore Installation of Subsea Equipment Considering Elasticity of the Crane Boom in Harsh Environment", Proceedings of ISOPE 2015, Hawaii, USA, 2014.06.21-26

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