선박 및 해양구조물의 셸 요소 기반 연성 파단 예측 제1편: 이론적 배경 및 연구 수준 리뷰
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박성주 | - |
dc.contributor.author | 이강수 | - |
dc.contributor.author | 부락 잔 체릭 | - |
dc.contributor.author | 정준모 | - |
dc.date.accessioned | 2021-12-08T10:40:56Z | - |
dc.date.available | 2021-12-08T10:40:56Z | - |
dc.date.issued | 20180525 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/3137 | - |
dc.description.abstract | The fracture model of ductile steels is dependent on the stress state, which can be defined using two non-dimensional parameters: stress triaxiality and Lode angle. Past presented ductile fracture model shows good accuracy in ductile fracture initiation where the fully three-dimensional mechanical fields. In this study, the global study trends are investigated for ductile fracture using stress triaxiality and lode angle, with briefly introducing theoretical background and introduced the concept of the Domain of Shell-to-Solid Equivalence (DSSE) for capture the onset of localized necking with shell element meshes. The stress versus strain data are presented as the results of these tests and will be used for theverification of numerical simulations and fracture identifications in Part II. | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.title | 선박 및 해양구조물의 셸 요소 기반 연성 파단 예측 제1편: 이론적 배경 및 연구 수준 리뷰 | - |
dc.title.alternative | Predicting Ductile Fracture of Marine Structure with Shell Elements, Part I : Theoretical Backgrounds and Research Situation | - |
dc.type | Conference | - |
dc.citation.title | 2018 해양공동학술대회 - 대한조선학회 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 430 | - |
dc.citation.endPage | 434 | - |
dc.citation.conferenceName | 2018 해양공동학술대회 - 대한조선학회 | - |
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.