Investigation on the Effect of Initial Welding Imperfection on Fatigue strength of Tubular Member by FEM
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chang, Kyong-Ho | - |
dc.contributor.author | Shin, WangSub | - |
dc.contributor.author | Do Nguyen Van Vuong | - |
dc.contributor.author | Lee, ChinHyong | - |
dc.date.accessioned | 2022-04-11T10:40:20Z | - |
dc.date.available | 2022-04-11T10:40:20Z | - |
dc.date.issued | 2018-04 | - |
dc.identifier.issn | 1755-1307 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56198 | - |
dc.description.abstract | Steel tube structure is used for steel structure such as offshore platform, bridges and so on. Also, all circular members of tubular structures are mainly connected by welding. When the steel tubular structures are subjected to repeated loading, not only the load carrying capacity is reduced but also fatigue cracks may develop at the joint part of steel tubular members which are connected by welding. Carrying out welding, welding initial imperfection such as welding deformation and residual stress are inevitably generated at weld part. It was well known that the effect of welding residual and welding deformation on fatigue strength. However, It's not clear which affects fatigue strength more. However, it's difficult to clear the effect on fatigue strength by experiment. To clarify these effect, fatigue analysis was carried out by FEM which is based on continuum damage mechanics. On the other hand, coupled three-dimensional non-steady heat conduction analysis, and the thermal elastic-plastic analysis was carried out to reproduce the initial weld state of tubular member. From the result, not only the fatigue strength of welded tubular member but also the fatigue life could be found by FEM fatigue analysis. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IOP PUBLISHING LTD | - |
dc.title | Investigation on the Effect of Initial Welding Imperfection on Fatigue strength of Tubular Member by FEM | - |
dc.type | Article | - |
dc.identifier.doi | 10.1088/1755-1315/143/1/012031 | - |
dc.identifier.bibliographicCitation | 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE DEVELOPMENT IN CIVIL, URBAN AND TRANSPORTATION ENGINEERING (CUTE 2018), v.143, no.1 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000447721000031 | - |
dc.identifier.scopusid | 2-s2.0-85046087752 | - |
dc.citation.number | 1 | - |
dc.citation.title | 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE DEVELOPMENT IN CIVIL, URBAN AND TRANSPORTATION ENGINEERING (CUTE 2018) | - |
dc.citation.volume | 143 | - |
dc.type.docType | Proceedings Paper | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordPlus | RESIDUAL-STRESS DISTRIBUTION | - |
dc.subject.keywordPlus | STAINLESS-STEEL PIPE | - |
dc.subject.keywordPlus | BUTT WELDS | - |
dc.subject.keywordPlus | HYSTERETIC CHARACTERISTICS | - |
dc.subject.keywordPlus | CONSTITUTIVE-EQUATIONS | - |
dc.subject.keywordPlus | DISSIMILAR STEELS | - |
dc.subject.keywordPlus | DAMAGE MECHANICS | - |
dc.subject.keywordPlus | T-JOINTS | - |
dc.subject.keywordPlus | SIMULATION | - |
dc.subject.keywordPlus | BEHAVIOR | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.description.journalRegisteredClass | scopus | - |
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.