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Abstract A ship hull design from the given offset points is one of the ways to create a new ship hull surface. The offset points are the rows of points obtained from the basis ship hull using the plane-surface intersection. A designer can create a hull surface for a new ship using the variation methods such as dimensional variation method and CP variation method. The created hull surface is presented using NURBS. The NURBS surface is a standard format in current CAD system but it has some drawbacks, for example, tensor product property, difficulty in local refinement, and not allowing T-junction, etc. Fore and after body shape of a ship hull is very complicated and it causes many control points of NURBS surface because of the tensor product property. In addition, more control points are required to create watertight hull surface among the NURBS surfaces of hull. T-spline is proposed by T. Sederberg to overcome these drawbacks of the tensor product property and it is extended to the computational analysis area recently. A number of control points can be reduced with the required continuity between the surfaces because the T-junction is allowed using T-spline. In this paper, the T-spline surface generation method is suggested to design the ship hull form from the given offset points. The result is compared with the NURBS surface and the benefit of the T-spline will be discussed.
Publication Date 2017-09-25

Min-Jae Oh, Myung-Il Roh, "Hull Form Surface Generation Using T-Spline", Proceedings of the 31st Asian-Pacific TEAM(Technical Exchange and Advisory Meeting on Marine Structures) 2017, Osaka, Japan, 2017.09.25-28


  1. 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

  2. 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

  3. Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Do-Hyun Chun, Jeong-Youl Lee, Myeong-Jo Son, "Operational Analysis of Container Ships Using AIS Data", Proceedings of ACDDE 2018, Okinawa, Japan, 2018.11.1-3

  4. 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

  5. No Image 08Sep
    by SyDLab
    in International Conference

    Min-Jae Oh, Myung-Il Roh, "Hull Form Surface Generation Using T-Spline", Proceedings of the 31st Asian-Pacific TEAM 2017, Osaka, Japan, 2017.09.25-28

  6. Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jongoh Kim, Hogyun Park, Jeongyoul Lee, "A Method of Variable Recognition and Connection for Reviewing Ship Regulations", Proceedings of ICCAS 2022, Yokohama, Japan, pp. 171-175, 2022.09.13-15

  7. Min-Chul Kong, Myung-Il Roh, Jisang Ha, Mijin Kim, Jeoungyoun Kim, "A Method for the Generation of Optimal Patterns for Equipment Unit Modules in the Engine Room", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20

  8. Min-Chul Kong, Myung-Il Roh, Jisang Ha, Jeong-Ho Park, EunSeok Jin, Donghun Yu, "Integrated Navigation Assistance System Using Augmented Reality", Proceedings of G-NAOE 2022, Changwon, Korea, 2022.11.06-10

  9. Min-Chul Kong, Myung-Il Roh, Jisang Ha, Eun Seok Jin, Donghun Yu, "Design of the Integrated System for the Safe Operation Based on Augmented Reality", Proceedings of PRADS 2022, Dubrovnik, Croatia, 2022.10.09-13

  10. Min-Chul Kong, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "A Detection Method of Objects with Text in Drawings Based on Deep Learning", Proceedings of ISOPE 2023, Ottawa, Canada, 2023.06.19-23

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