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Abstract Surrogate modeling is a method that uses a simplified model of an actual model to drive results with reduced computational cost while maintaining accuracy as much as possible. The surrogate model can predict the results quickly without performing complex analysis. In this study, surrogate modeling method is applied to ship flooding analysis. If a ship is damaged on the sea, the ship may sink and/or cause oil spillage, resulting in human casualties and environmental impact. The casualties of flooding can be minimized if the ship’s stability and the time to reach equilibrium is predicted within a short time when the damage occurs. However, since the flooding analysis is a time domain simulation with complexity, it takes too long time to be used in such circumstance. To reduce the computational cost of estimating ship’s stability, surrogate modeling method is used. To construct the surrogate model, various types of a deep artificial neural network are tried. Each result of Kim’s flooding analysis is used to train the neural network. In result, accurate estimations are obtained by the surrogate model within a dramatically reduced time.
Publication Date 2017-12-15

Jisang Ha, Myung-Il Roh, Sung-Jun Lee, Ki-Su Kim, Seung-Min Lee, "Toward Rapid Analysis Using Surrogate Model by Deep Learning and Application to Ship Flooding Analysis", Proceedings of ISCDE(International Symposium on Computational Design and Engineering) 2017, Ho Chi Minh, Vietnam, pp. 1-2, 2017.12.13-16


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  2. Jeong-Ho Park, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Jo, Nam-Sun Son, "Detection and Tracking Methods of Maritime Obstacles Using Multiple Cameras", Proceedings of ICDM 2022, Siheung, Korea, 2022.04.28-29

  3. Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Deep Reinforcement Learning-Based Ship Collision Avoidance Considering Collision Risk", Proceedings of TEAM 2022, Istanbul, Turkey, pp. 268, 2021.12.06-07

  4. Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Method for Automatic Control of Cranes for Block Lifting in Shipyard", Proceedings of PRADS 2022, Dubrovnik, Croatia, pp. 64, 2022.10.09-13

  5. 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

  6. 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. 82, 2022.10.09-13

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  8. Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Method for the Accurate and Automatic Operation of Offshore Floating Cranes for the Block Erection in Shipyards", Proceedings of OMAE 2020, Held in Virtual Conference, 2020.08.03-07

  9. 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

  10. Ki-Su Kim, Myung-Il Roh, "Optimization of the Arrangement Design of a Ship Considering the Multiple Performance", Proceedings of ACSMO 2020, Seoul, Korea, pp. 167, 2020.11.23-25

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