Cited 10 time in
Nonlinear failure prediction of concrete composite columns by a mixed finite element formulation
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cho, Chang-Geun | - |
| dc.contributor.author | Kwon, Minho | - |
| dc.date.accessioned | 2022-12-27T02:53:32Z | - |
| dc.date.available | 2022-12-27T02:53:32Z | - |
| dc.date.issued | 2011-10 | - |
| dc.identifier.issn | 1350-6307 | - |
| dc.identifier.issn | 1873-1961 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/23545 | - |
| dc.description.abstract | This study focuses on developing a mixed frame finite element formulation of reinforced concrete and FRP composite columns in order to give more accuracy not only to predict the global behavior of the structural system but also to predict the local damage in the cross-section. A hypo-elastic constitutive law of concrete is presented under the basis of a three-dimensional stress state in order to model the compressive behavior of confined concrete wrapped with FRP jackets. To predict the nonlinear load path-dependent confinement model of FRP-confined concrete, the strength enhancement of concrete was determined by the failure surface of concrete in a tri-axial stress state, and its corresponding peak strain was computed by the strain-enhancement factor proposed in this study. The behavior of FRP jacket was modeled using the two-dimensional classical lamination theory. The flexural behavior of concrete and composite members was defined using a nonlinear fiber cross-sectional approach. The results obtained by developed mixed finite element formulation were verified with the experiments of concrete composite columns and also were compared with a displacement-based finite element formulation. It is shown that the proposed formulation gives e more accurate results in the global behavior of the column system as well as in the local damage in the column sections. (C) 2011 Elsevier Ltd. All rights reserved. | - |
| dc.format.extent | 12 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
| dc.title | Nonlinear failure prediction of concrete composite columns by a mixed finite element formulation | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1016/j.engfailanal.2011.03.018 | - |
| dc.identifier.scopusid | 2-s2.0-80052715477 | - |
| dc.identifier.wosid | 000296074700011 | - |
| dc.identifier.bibliographicCitation | ENGINEERING FAILURE ANALYSIS, v.18, no.7, pp 1723 - 1734 | - |
| dc.citation.title | ENGINEERING FAILURE ANALYSIS | - |
| dc.citation.volume | 18 | - |
| dc.citation.number | 7 | - |
| dc.citation.startPage | 1723 | - |
| dc.citation.endPage | 1734 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Mechanical | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Characterization & Testing | - |
| dc.subject.keywordPlus | MULTIAXIAL CONSTITUTIVE LAWS | - |
| dc.subject.keywordPlus | FRAME STRUCTURES | - |
| dc.subject.keywordPlus | BEHAVIOR | - |
| dc.subject.keywordPlus | MODEL | - |
| dc.subject.keywordAuthor | Mixed finite element | - |
| dc.subject.keywordAuthor | Composite column | - |
| dc.subject.keywordAuthor | Concrete | - |
| dc.subject.keywordAuthor | FRP | - |
| dc.subject.keywordAuthor | Local damages | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. 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.
