구조용 강재의 반복소성모델 분석 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이은택 | - |
dc.date.accessioned | 2022-03-21T05:40:07Z | - |
dc.date.available | 2022-03-21T05:40:07Z | - |
dc.date.issued | 2002-12 | - |
dc.identifier.issn | 1226-363X | - |
dc.identifier.issn | 2287-4054 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/55532 | - |
dc.format.extent | 12 | - |
dc.publisher | 한국강구조학회 | - |
dc.title | 구조용 강재의 반복소성모델 분석 연구 | - |
dc.title.alternative | State of the Art of the Cyclic Plasticity Models of Structural Steel | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | 한국강구조학회 논문집, v.14, no.6, pp 735 - 746 | - |
dc.identifier.kciid | ART000909155 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 746 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 735 | - |
dc.citation.title | 한국강구조학회 논문집 | - |
dc.citation.volume | 14 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | steel | - |
dc.subject.keywordAuthor | cyclic loading | - |
dc.subject.keywordAuthor | nonproportional loading | - |
dc.subject.keywordAuthor | yield criterion | - |
dc.subject.keywordAuthor | hardening rule | - |
dc.subject.keywordAuthor | cyclic plasticity model이은택736 한국강구조학회 논문집 제14권 6호(통권 61호) 202년 12월명하기 위하여 연구해 왔다 . 그러나 | - |
dc.subject.keywordAuthor | 제안된 소성 모델들이 단축 | - |
dc.subject.keywordAuthor | 비례하중상태에 대해 집중되어 있다 . 이 모델들은 해석의 단순화와 편리를 위해 응력 -변형도 관계를 다중직선(mult | - |
dc.subject.keywordAuthor | 강재 | - |
dc.subject.keywordAuthor | 반복하중 | - |
dc.subject.keywordAuthor | 불비례하중 | - |
dc.subject.keywordAuthor | 항복조건 | - |
dc.subject.keywordAuthor | 경화법칙 | - |
dc.subject.keywordAuthor | 반복소성모델 | - |
dc.description.journalRegisteredClass | kciCandi | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University 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.