플로트오버 메이팅용 탄성체의 반력성능 추정에 관한 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이강수 | - |
dc.contributor.author | 박병재 | - |
dc.contributor.author | 성홍근 | - |
dc.date.accessioned | 2021-12-08T14:40:17Z | - |
dc.date.available | 2021-12-08T14:40:17Z | - |
dc.date.issued | 20151022 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/4110 | - |
dc.description.abstract | The float-over method is the most preferred method for installing heavy topside in the offshore plants installation field. In the installation using the float-over method, various force occurs because of the environment condition. Leg mating Units(LMU) is located between topside and jacket leg to reduce mating force and accommodate large relative displacement. This paper present a comprehensive overview of a typical LMU configuration. And in order to estimate reaction force performance, 2D nonlinear analysis was performed using Moony-Rivlin model for hyperelasticg Units(LMU) is located between topside and jacket leg to reduce mating force and accommodate large relative displacement. This paper present a comprehensive overview of a typical LMU configuration. And in order to estimate reaction force performance, 2D nonlinear analysis was performed using Moony-Rivlin model for hyperelastic | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.title | 플로트오버 메이팅용 탄성체의 반력성능 추정에 관한 연구 | - |
dc.title.alternative | A Study on the Performance Prediction of LMU Elastomeric Rings for the Float-over Mating | - |
dc.type | Conference | - |
dc.citation.title | 한국해양공학회 2015년 추계 학술대회 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 122 | - |
dc.citation.endPage | 125 | - |
dc.citation.conferenceName | 한국해양공학회 2015년 추계 학술대회 | - |
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.