Dent 손상을 갖는 원통부재의 굽힘강도에 관한 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 전태병 | - |
dc.contributor.author | 노인식 | - |
dc.contributor.author | 조병삼 | - |
dc.date.accessioned | 2021-12-09T00:40:57Z | - |
dc.date.available | 2021-12-09T00:40:57Z | - |
dc.date.issued | 20040422 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/7191 | - |
dc.description.abstract | Several types of steel structures which are employed in offshore petroleum activities are constructed with tubular members. These structures are usually subjected to various types of loads such as normal functional loads and environmental loads. Furthermore, accidental loads may also act on the leg or bracing members due to supply boat collisions and objects droppings from platform decks. The extent of damage caused by these loads ranges from total collapse of the structure to small damage which may not have serious consequence at the time of accident. To make optimal design decisions regarding safety and economical efficiency, it is very important to be able to assess the influence of damages on the performance of damaged structural members. In this study, a series of calculations is performed to study the effects of different parameters on the behavior of such damaged members. And the results of analysis are checked against of experiment results. | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.title | Dent 손상을 갖는 원통부재의 굽힘강도에 관한 연구 | - |
dc.title.alternative | Bending Strength of Dented Tubular members | - |
dc.type | Conference | - |
dc.citation.title | 2004년도 춘계학술대회논문집 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 124 | - |
dc.citation.endPage | 131 | - |
dc.citation.conferenceName | 2004년도 춘계학술대회논문집 | - |
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.