유연관의 효과적인 동적거동 해석을 위한 모델링 방법 비교연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이창호 | - |
dc.contributor.author | 홍섭 | - |
dc.contributor.author | 김형우 | - |
dc.contributor.author | 오재원 | - |
dc.contributor.author | 윤홍선 | - |
dc.contributor.author | 김성수 | - |
dc.date.accessioned | 2021-12-08T15:40:39Z | - |
dc.date.available | 2021-12-08T15:40:39Z | - |
dc.date.issued | 20140630 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/4503 | - |
dc.description.abstract | The efficacy of various well-established dynamic modeling schemes for flexible pipes, as flexible multibody systems with large displacement, has been studied in this paper. Finite difference method with Lumped-mass model and the Substructuring formulation have been introduced for comparison purposes, with application to fishing rod problem using cantilever beam. Pros and cons of methods are discussed for flexible pipe through the results of various numerical analyses.ing formulation have been introduced for comparison purposes, with application to fishing rod problem using cantilever beam. Pros and cons of methods are discussed for flexible pipe through the results of various numerical analyses. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | 유연관의 효과적인 동적거동 해석을 위한 모델링 방법 비교연구 | - |
dc.title.alternative | A Comparative Study on Effective Dynamic Modeling Methods for Flexible Pipe | - |
dc.type | Conference | - |
dc.citation.title | The 3rd Joint International Conference on Multibody System Dynamics | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 7 | - |
dc.citation.conferenceName | The 3rd Joint International Conference on Multibody System Dynamics | - |
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.