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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.
Publication Date 2017-09-26

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


  1. Ki-Su Kim, Myung-Il Roh, Ju-Sung Kim, "A Method of Dynamic Flooding Analysis in Time Domain for the Compartment Arrangement Design of a Ship", Proceedings of ISOPE 2017, San Francisco, USA, pp. 862-866, 2017.06.25-30

    CategoryInternational Conference
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  2. Luman Zhao, Myung-Il Roh, Seung-Ho Ham, "Anti-sway Control of the Crane on an Offshore Support Vessel Based on the Hardware-In-the-Loop Simulation", Proceedings of ISOPE 2017, San Francisco, USA, pp. 651-654, 2017.06.25-30

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  3. Myung-Il Roh, Seung-Ho Ham, Ki-Su, Kim, Hyewon Lee, Seung-Min Lee, Luman Zhao, "Minimization of Risk in Design, Production, and Installation Process of Ships and Offshore Structures through Simulation", Proceedings of ACDDE 2017, Zhangjiajie, China

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  4. Ki-Su Kim, Myung-Il Roh, Sung-Min Lee, "Toward a Robust Optimization Method for Ship Route Planning Considering Cost and Safety Aspect", Proceedings of ACDDE 2017, Zhangjiajie, China

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  5. Sun-Kyung Jung, Myung-Il Roh, Seung-Min Lee, Ki-Su Kim, "Optimal Arrangement Method for Naval Surface Ship Considering the Stability, Operability, and Survivability", Proceedings of ICCAS 2017, Singapore, Singapore, 2017.09.26-28

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  6. Hye-Won Lee, Myung-Il Roh, Luman Zhao, Seung-Ho Ham, Nakwan Kim, Chan-Woo Yu, "Integrated Development Environment Of Autonomic Software for USV (Unmanned Surface Vehicle) Based on Ros (Robot Operating System)", Proceedings of ICCAS 2017, Singapore

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  7. Seong-Hoon Kim, Myung-Il Roh, Min-Jae Oh, Namkug Ku, Sehyun Myung, "Big Data Platform for PLM (Product Lifecycle Management) Systems in Shipbuilding and Offshore Industry", Proceedings of ICCAS 2017, Singapore, Singapore, 2017.09.26-28

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  8. Ki-Su Kim, Myung-Il Roh, Sung-Min Lee, Jihye Cha, Jongjin Park, DongYeon Lee, Booki Kim, "An Efficient Method for Cost and Risk Saving in Ship Route Planning", Proceedings of the 31st Asian-Pacific TEAM 2017, Osaka, Japan, 2017.09.25-28

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  9. 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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  10. 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

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