유전자 알고리즘과 다물체 동역학 시뮬레이션을 이용한 해상 유연 라이저 안정성을 위한 부력재의 최적화 배치 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오재원 | - |
dc.contributor.author | 김형우 | - |
dc.contributor.author | 이창호 | - |
dc.contributor.author | 여태경 | - |
dc.contributor.author | 민천홍 | - |
dc.contributor.author | 이민욱 | - |
dc.contributor.author | 홍섭 | - |
dc.date.accessioned | 2021-12-08T15:40:32Z | - |
dc.date.available | 2021-12-08T15:40:32Z | - |
dc.date.issued | 20140923 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/4468 | - |
dc.description.abstract | This paper concerns the optimum arrangement of the buoyancy module, which is used for stable dynamic motion and structure stability of the marine flexible riser. The main method of this study is simulation-based design using Genetic Algorithm(G.A) for optimum design and Multi-body dynamic for simulation.hm(G.A) for optimum design and Multi-body dynamic for simulation. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | 유전자 알고리즘과 다물체 동역학 시뮬레이션을 이용한 해상 유연 라이저 안정성을 위한 부력재의 최적화 배치 연구 | - |
dc.title.alternative | A Study on the Optimum Arrangement of Buoyancy Module for Stability of Marine Flexible Riser using Genetic Algorithm & Multi-body Dynamic Simulation | - |
dc.type | Conference | - |
dc.citation.title | The 43rd Conference of the Underwater Mining Institute | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 5 | - |
dc.citation.conferenceName | The 43rd Conference of the Underwater Mining Institute | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(34103) 대전광역시 유성구 유성대로1312번길 32042-866-3114
COPYRIGHT 2021 BY KOREA RESEARCH INSTITUTE OF SHIPS & OCEAN ENGINEERING. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.