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Abstract When designing a ship's hull form, a designer creates various candidate hull forms and performs a Computational Fluid Dynamics (CFD) analysis to evaluate the performance of each candidate. Designers consider quantitative indicators, such as the total resistance and wake coefficient, and qualitative indicators, such as the wave height and pressure distributions, when evaluating the performance of a hull form. During the design process, quantitative and qualitative indicators are often used to determine the superiority of two hull forms. However, in the case of quantitative indicators, the difference between the two hull forms is often minimal; thus, superiority cannot be readily determined. Furthermore, because qualitative indicators are in the form of images, it is challenging to determine the superiority in many cases, even for experienced designers. To solve this problem, we propose a convolutional neural network-based model for predicting the superiority of hull form performance from a qualitative indicator of the image form derived from CFD analysis. The proposed prediction model received various types of hull form performance images. From these results, the hull form performance characteristics were well fused for prediction with high accuracy. CFD analysis images and quantitative indicators for 1600 hull forms were used to determine the superiority of the prediction model. The learned model was verified using 240 hulls. The result confirmed that the proposed model accurately predicted superiority with an accuracy of approximately 94%
Publication Date 2022-11-01
Role Corresponding Author
Category SCIE
Impact Factor 2.538

Jin-Hyeok Kim, Myung-Il Roh, Ki-Su Kim, In-Chang Yeo, Min-Jae Oh, Jung-Woo Nam, Sahng-Hyon Lee, Yong-Hun Jang, "Prediction of the Superiority of the Hydrodynamic Performance of Hull Forms Using Deep Learning", International Journal of Naval Architecture and Ocean Engineering, Vol. 49, pp. 100490.1-15, 2022.11.01

https://doi.org/10.1016/j.ijnaoe.2022.100490


List of Articles
번호 분류 제목 Publication Date
14 International Journal Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, “Ship Route Planning in Arctic Ocean Based on POLARIS”, Ocean Engineering, Vol. 234, pp. 109297.1-14, 2021.08.15 file 2021-08-15
13 International Journal Hye-Won Lee, Myung-Il Roh, "Review of the Multibody Dynamics in the Applications of Ships and Offshore Structures", Ocean Engineering, Vol. 167, pp. 65-76, 2018.11.01 file 2018-11-01
12 International Journal Hye-Won Lee, Joo-Hyun Woo, Myung-Il Roh, Seung-Ho Ham, et al., "Integrated Simulation of Virtual Prototypes and Control Algorithms of Unmanned Surface Vehicles Based on a Robot Operating System", Journal of Marine Science and Technology (Taiwan) file 2021-09-03
11 International Journal Donghun Yu, Myung-Il Roh, “Method for Anti-collision Path Planning Using Velocity Obstacle and A* Algorithms for a Maritime Autonomous Surface Ship”, International Journal of Naval Architecture and Ocean Engineering, Vol. 16, 2024.02.02 file 2024-02-02
10 International Journal Dong-Hoon Jeong, Myung-Il Roh, Seung-Ho Ham, "Lifting Off Simulation of an Offshore Supply Vessel Considering Ocean Environmental Loads and Lifting Off Velocity", Ocean Systems Engineering, Vol. 5, No. 3, pp. 181-198, 2015.09.01 file 2015-09-01
9 International Journal Dong-Hoon Jeong, Myung-Il Roh, Seung-Ho Ham, “Case Study of Detection and Maneuvering Performance of Naval Ships Using Engagement Simulation of Engineering Level”, Ocean Systems Engineering, Vol. 7, No. 3, pp. 247-273, 2017.09.01 file 2017-09-01
8 International Journal Dong-Hoon Jeong, Myung-Il Roh, Seung-Ho Ham, Chan-Young Lee, “Performance Analyses of Naval Ships Based on Engineering Level of Simulation at the Initial Design Stage”, IJNAOE, Vol. 9, No. 4, pp. 446-459, 2017.07.01 file 2017-07-01
7 International Journal Dong-Hoon Jeong, Myung-Il Roh, Seung-Ho Ham, "Lifting Simulation of an Offshore Supply Vessel Considering Various Operating Conditions", Advances in Mechanical Engineering, Vol. 8, No. 6, pp. 1-13, 2016.06.16 file 2016-06-16
6 International Journal Do-Hyun Chun, Myung-Il Roh, Seung-Ho Ham, “Optimum Arrangement Design of Mastic Ropes for Membrane-type LNG Tanks Considering the Flatness of Thermal Insulation Panel and Production Cost”, Journal of Marine Science and Engineering, Vol. 8, No. 5 file 2020-05-16
5 International Journal Do-Hyun Chun, Myung-Il Roh, In-Chang Yeo, Hye-Won Lee, “Proposed Method for Design Optimization of LNG Tanks Based on the Arrangement of Thermal Insulation Panels”, Ocean Engineering, Vol. 288, Part 2, pp. 116063.1-14, 2023.11.15 file 2023-11-15
4 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Donghun Yu, “Deep Reinforcement Learning-based Collision Avoidance for an Autonomous Ship”, Ocean Engineering, Vol. 234, pp. 1-20, 2021.08.15 file 2021-08-15
3 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "Method for Collision Avoidance Based on Deep Reinforcement Learning with Path-Speed Control for an Autonomous Ship", IJNAOE, Vol. 16, pp. 100579.1-19, 2023.12.22 file 2023-12-22
2 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", Journal of Computational Design and Engineering, Vol. 9, No. 4, pp. 1430- 1448, 2022.07.23 file 2022-07-23
1 International Journal Beom-Soo Kim, Min-Jae Oh, Jae-Hoon Lee, Yonghwan Kim, Myung-Il Roh, "Study on Hull Optimization Process Considering Operational Efficiency in Waves", Processes, Vol. 9, No. 5, pp. 898.1-21, 2021.05.19 file 2021-05-19
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