Jisang Ha, Myung-Il Roh, Sung-Jun Lee, Ki-Su Kim, Seung-Min Lee, "Toward Rapid Flooding Analysis of a Ship Using Surrogate Model by Deep Learning", Proceedings of the 31st Asian-Pacific TEAM(Technical Exchange and Advisory Meeting on Marine Structures) 2017, Osaka, Japan, pp. 397-400, 2017.09.25-28
Jisang Ha, Myung-Il Roh, Sung-Jun Lee, Ki-Su Kim, Seung-Min Lee, "Toward Rapid Flooding Analysis of a Ship Using Surrogate Model by Deep Learning", Proceedings of the 31st Asian-Pacific TEAM 2017, Osaka, Japan, pp. 397-400, 2017.09.25-28
첨부 '1' |
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Abstract | It is necessary to predict the stability of the ship at the moment when it is damaged on the sea. It can also help minimize casualty by predicting the ship’s stability and the time to reach equilibrium. In an emergency, the flooding analysis should be performed within a short time. However, since the 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 in this study. 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 analysis in the time domain. To construct the surrogate model, various types of a deep artificial neural network (ANN) are tried. Each result of the analysis is used to train the neural network. In the result, accurate estimations are obtained by the surrogate model within a dramatically reduced time. Keyword: Stability, Flooding simulation, Surrogate model, Deep artificial neural network. |
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Publication Date | 2017-09-26 |
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Ju-Hwan Cha, Myung-Il Roh, Seung-Ho Ham, Kyu-Yeul Lee, Kwang Phil Park, Heung Won Suh, "Development of an Integrated Simulation Framework and Its Application to Shipbuilding Process Planning", Proceedings of ICCAS(International Conference on Computer Applications in Shipbuilding) 2007, Portsmouth, UK, pp. 283-290, 2007-09.18-20
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Jong-Hyeok Lee, Myung-Il Roh, Jin-Hyeok Kim, Sung-Jun Lee, Seung-Ho Ham, "Development of a Ship Navigation Simulator Based on Digital Twin Technology", Proceedings of ACDDE 2019, Penang, Malaysia, pp. 245, 2019.07.07-10
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John-Kyu Hwang, Myung-Il Roh, Ju-Hwan Cha, "Design Modification of a Damaged Free-Fall Lifeboat for FPSO through the Free-Fall Test", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2014, Busan, Korea, 2014.06.15-20
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John-Kyu Hwang, Myung-Il Roh, Ji-Hyun Hwang and Ju-Hwan Cha, Kyu-Yeul Lee, "Overview on Detailed Design and Construction of 2,000,000BBLS FPSO", Proceedings of Design & Construction of FPU(Floating Production Units) 2007, Suntec, Singapore, pp. 1-6, 2007.04.03
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John-Kyu Hwang, Geun-Jae Bang, Myung-Il Roh, Kyu-Yeul Lee, "Detailed Design and Construction of the Hull of an FPSO(Floating, Production, Storage, and Off-loading unit)", Proceedings of ISOPE 2009, Osaka, Japan, pp. 151-158, 2009.06.21-26
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Jisang Ha, Myung-Il Roh, Sung-Jun Lee, Ki-Su Kim, Seung-Min Lee, "Toward Rapid Flooding Analysis of a Ship Using Surrogate Model by Deep Learning", Proceedings of the 31st Asian-Pacific TEAM 2017, Osaka, Japan, pp. 397-400, 2017.09.25-28
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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 2017, Ho Chi Minh, Vietnam, pp. 1-2, 2017.12.13-16
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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
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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
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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