Prediction of bridge flutter under a crosswind flow
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tan-Van Vu | - |
dc.contributor.author | Lee, Ho-Yeop | - |
dc.contributor.author | Choi, Byung-Ho | - |
dc.contributor.author | Lee, Hak-Eun | - |
dc.date.accessioned | 2021-09-05T22:05:16Z | - |
dc.date.available | 2021-09-05T22:05:16Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2013-09 | - |
dc.identifier.issn | 1226-6116 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/102259 | - |
dc.description.abstract | This paper presents a number of approximated analytical formulations for the flutter analysis of long-span bridges using the so-called uncoupled flutter derivatives. The formulae have been developed from the simplified framework of a bimodal coupled flutter problem. As a result, the proposed method represents an extension of Selberg's empirical formula to generic bridge sections, which may be prone to one of the aeroelastic instability such as coupled-mode or single-mode (either dominated by torsion or heaving mode) flutter. Two approximated expressions for the flutter derivatives are required so that only the experimental flutter derivatives of (H-1*,A(2)*) are measured to calculate the onset flutter. Based on asymptotic expansions of the flutter derivatives, a further simplified formula was derived to predict the critical wind speed of the cross section, which is prone to the coupled-mode flutter at large reduced wind speeds. The numerical results produced by the proposed formulas have been compared with results obtained by complex eigenvalue analysis and available approximated methods show that they seem to give satisfactory results for a wide range of study cases. Thus, these formulas can be used in the assessment of bridge flutter performance at the preliminary design stage. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | TECHNO-PRESS | - |
dc.subject | INSTABILITY | - |
dc.subject | FREQUENCY | - |
dc.title | Prediction of bridge flutter under a crosswind flow | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Hak-Eun | - |
dc.identifier.doi | 10.12989/was.2013.17.3.275 | - |
dc.identifier.scopusid | 2-s2.0-84885070414 | - |
dc.identifier.wosid | 000324859800003 | - |
dc.identifier.bibliographicCitation | WIND AND STRUCTURES, v.17, no.3, pp.275 - 298 | - |
dc.relation.isPartOf | WIND AND STRUCTURES | - |
dc.citation.title | WIND AND STRUCTURES | - |
dc.citation.volume | 17 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 275 | - |
dc.citation.endPage | 298 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001802822 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Construction & Building Technology | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Mechanics | - |
dc.relation.journalWebOfScienceCategory | Construction & Building Technology | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Mechanics | - |
dc.subject.keywordPlus | INSTABILITY | - |
dc.subject.keywordPlus | FREQUENCY | - |
dc.subject.keywordAuthor | bridges | - |
dc.subject.keywordAuthor | eigenvalue | - |
dc.subject.keywordAuthor | flutter | - |
dc.subject.keywordAuthor | flutter derivatives | - |
dc.subject.keywordAuthor | selberg formula | - |
dc.subject.keywordAuthor | simplified formulations | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea 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.