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
International Conference
2017.10.18 20:31
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
조회 수 241
| 첨부 '1' |
|---|
| 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 |
-
박성우, 노명일, 오민재, "빅데이터 기반 선박 및 해양 구조물의 데이터 마이닝 방법", 2018년도 대한조선학회 추계학술발표회, 창원, pp. 211-212, 2018.11.8-9
-
이혜원, 노명일, 김기수, 강국진, 정성엽, "극지 운항 선박을 위한 항로 계획 방법 연구", 2018년도 항해항만학회 추계학술발표회, 경주, pp. 181-182, 2018.11.8-9
-
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
-
Seung-Ho Ham, Myung-Il Roh, Jong-Hyuk Lee, Sung-Jun Lee, "Multi-purpose Simulator for Ships and Offshore Structure", Proceedings of ACDDE 2018, Okinawa, Japan, 2018.11.1-3
-
함승호, 노명일, 이종혁, 이성준, "해석-가시화-하드웨어의 실시간 연동을 기반으로 한 조선 해양 시뮬레이터 개발", 2018년도 대한조선학회 추계학술발표회, 창원, pp. 252, 2018.11.8-9
-
전도현, 노명일, 함승호, 이혜원, "안전한 블록 탑재를 위한 와이어 로프의 초기 장력 탐색 및 강화 학습 기반 제어", 2018년도 조선해양생산연구회 추계학술발표회, 울산, 2018.06.14
-
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
-
Seung-Ho Ham, Myung-Il Roh, Hye-Won Lee, "Integrated Simulation Methods Based on Multibody Dynamics in Ships and Offshore Structures", Proceedings of the 32nd Asian-Pacific TEAM 2018, Wuhan, China, pp. 592-596, 2018.10.15-18
-
이주필, 노명일, 이혜원, 함승호, "와이어 래핑 방법을 사용한 침몰 선박의 인양 시뮬레이션", 2018년도 해양환경안전학회 춘계학술발표회, 인천, pp. 147, 2018.06.21-22
-
이성준, 노명일, 김신형, "딥러닝을 이용한 이미지 기반 해양 장애물 탐지 및 분류", 2018년도 해양플랜트설계연구회 하계연구발표회, 서울, 2018.05.31-06.01
