Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, "A Method for the Automatic Generation of Hull Form Surfaces Based on MLP (Multi-Layer Perceptron) Considering Design Requirements", Proceedings of G-NAOE 2024, Southampton, UK, 2024.11.05-09
International Conference
2024.05.01 15:15
Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, "A Method for the Automatic Generation of Hull Form Surfaces Based on MLP (Multi-Layer Perceptron) Considering Design Requirements", Proceedings of G-NAOE 2024, Southampton, UK, 2024.11.05-09
조회 수 2058
| 첨부 '1' |
|---|
| Abstract | When generating complicated geometries like the hull form of a commercial ship, the hull form deformation approach often involves slightly modifying the geometry to satisfy design requirements based on the hull form of a previously built reference ship. In the industry, methods such as the 1-Cp method or the Lackenby method have been used to edit the hull form by moving the section plane of the reference hull form longitudinally. While these methods have the advantage of quickly deforming the hull form when satisfying design requirements, they have the limitation of having a very limited degree of freedom in hull form deformation. To overcome this limitation, many hull form optimization research have used methods such as Free Form Deformation (FFD) and Radial Basis Function (RBF), which define control points and directly modify the surface of the hull form. Although this approach allows for very flexible deformation of the hull form, it has the limitation that the designer must define the position and direction of movement of the control points, and further consideration of design requirements is required. This study proposed an interpolation method that used the Multi-Layer Perceptron (MLP) of deep learning instead of the RBF method to solve this problem. The most significant characteristic of the MLP is that it can interpolate given points in various ways and perform multiple interpolations at once. Initially, the MLP was used to define multiple candidate surfaces. Points on the surface were extracted using surface meshes to approximately calculate values such as surface volume and fairness. Some of the vertices in the mesh were fixed points, while the rest were movable points. The extent to which these movable points move was automatically determined by the MLP. The calculated volume of the surface was used to satisfy design requirements such as the block coefficient, and fairness was used to improve the quality of the generated surface. Additionally, to generate a variety of surfaces, the centers of buoyancy of the generated surfaces were calculated to maximize their distance. The proposed method can generate various surfaces that interpolate the given points, especially finding multiple surfaces that satisfy the design requirements. Moreover, the proposed method did not require the definition of the location and direction of movement of control points, allowing for automatic deformation of the surface. The method was validated using the hull form of the publicly opened container ship, KRISO Container Ship (KCS). By using the proposed method, multiple hull forms were generated, and it was confirmed that the generated hull forms satisfied the design requirements. |
|---|---|
| Publication Date | 2024-11-05 |
-
Do-Hyeok Ahn, Myung-Il Roh, In-Chang Yeo, Hye-Won Lee, Seung-Ho Ham, "A Control Method Based on Safe Reinforcement Learning for Cranes in Shipyards", Proceedings of OMAE 2026, Tokyo, Japan, 2026.06.07-12
-
Yun-Sik Kim, Myung-Il Roh, Ha-Yun Kim, In-Chang Yeo, Nam-Sun Son, "An Improved Method for Detection and Tracking of Maritime Obstacles Using Multiple-Sensor Fusion", Proceedings of OMAE 2026, Tokyo, Japan, 2026.06.07-12
-
Seong-Won Choi, Myung-Il Roh, In-Chang Yeo, "A Method for Ship Collision Avoidance Based on Deep Reinforcement Learning Considering Uncertainty", Proceedings of OMAE 2026, Tokyo, Japan, 2026.06.07-12
-
Ha-Yun Kim, Myung-Il Roh, Do-Hyeok Ahn, Min-Chul Kong, In-Chang Yeo, Seong-Won Choi, "A Method for Ship Modeling in a Virtual Environment for SILS-Based Collision Avoidance Simulation", Proceedings of 11th PAAMES and AMEC, Singapore, 2025.12.10-12
-
In-Chang Yeo, Myung-Il Roh, Jin-Hyeok Kim, In-Su Han, Dong-Woo Kim,"A Method for Optimizing Pump Tower Design in LNG Tanks Considering Structural Safety", Proceedings of PRADS 2025, Ann Arbor, USA, 2025.10.19-23
-
In-Su Han, Myung-Il Roh, Min-Chul Kong, "A Generative AI-based Q&A System for Design Regulations", Proceedings of PRADS 2025, Ann Arbor, USA, 2025.10.19-23
-
Min-Chul Kong, Myung-Il Roh, In-Su Han, Seong-Won Choi, Mijin Kim, Jeoungyoun Kim, Inseok Lee, "A Method for Ship Piping Design Using Past Data and Expert Knowledge", Proceedings of OMAE 2025, Vancouver, Canada, 2025.06.22-27
-
Dong-Woo Kim, Myung-Il Roh et al., "A Method for Improving Sloshing Assessment in Membrane-Type Cargo Tanks Considering Strucutral Nonlinearity", Proceedings of OMAE 2025, Vancouver, Canada, 2025.06.22-27
-
Seong-Won Choi, Myung-Il Roh, In-Chang Yeo, "A Method for Collision Avoidance of an Autonomous Ship in Dynamic Environments", Proceedings of ISOPE 2025, Goyang, Korea, 2025.06.01-06
-
Yun-Sik Kim, Myung-Il Roh, Ha-Yun Kim, In-Chang Yeo, Nam-Sun Son, "A Method for Robust Tracking and Fusion of Maritime Obstacles Using Multiple Sensor Data", Proceedings of ISOPE 2025, Goyang, Korea, 2025.06.01-06
