Multi-objective optimization of the inner reinforcement for a vehicle's hood considering static stiffness and natural frequency
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Shin Hyuk | - |
dc.contributor.author | Kim, SR | - |
dc.contributor.author | Park, JY | - |
dc.contributor.author | Han, Seog Young | - |
dc.date.accessioned | 2022-12-21T08:04:13Z | - |
dc.date.available | 2022-12-21T08:04:13Z | - |
dc.date.created | 2022-08-26 | - |
dc.date.issued | 2007-06 | - |
dc.identifier.issn | 1229-9138 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180053 | - |
dc.description.abstract | A multi-objective optimization technique was implemented to obtain optimal topologies of the inner reinforcement for a vehicle's hood simultaneously considering the static stiffness of bending and torsion and natural frequency In addition, a smoothing scheme was used to suppress the checkerboard patterns in the ESO method. Two models with different curvature were chosen in order to investigate the effect of curvature on the static stiffness and natural frequency of the inner reinforcement. A scale factor was employed to properly reflect the effect of each objective function. From several combinations of weighting factors, a Pareto-optimal topology solution was obtained. As the weighting factor for the elastic strain efficiency went from I to 0, the optimal topologies transmitted from the optimal topology of a static stiffness problem to that of a natural frequency problem. It was also found that the higher curvature model had a larger static stiffness and natural frequency than the lower curvature model. From the results, it is concluded that the ESO method with a smoothing scheme was effectively applied to topology optimization of the inner reinforcement of a vehicle's hood. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | KOREAN SOC AUTOMOTIVE ENGINEERS-KSAE | - |
dc.title | Multi-objective optimization of the inner reinforcement for a vehicle's hood considering static stiffness and natural frequency | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Han, Seog Young | - |
dc.identifier.scopusid | 2-s2.0-34548461299 | - |
dc.identifier.wosid | 000246926400010 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, v.8, no.3, pp.337 - 342 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY | - |
dc.citation.title | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY | - |
dc.citation.volume | 8 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 337 | - |
dc.citation.endPage | 342 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001071580 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Mechanical | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.subject.keywordPlus | EVOLUTIONARY STRUCTURAL OPTIMIZATION | - |
dc.subject.keywordPlus | TOPOLOGY OPTIMIZATION | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordAuthor | multi-objective optimization | - |
dc.subject.keywordAuthor | static stiffness | - |
dc.subject.keywordAuthor | natural frequency | - |
dc.subject.keywordAuthor | smoothing scheme | - |
dc.subject.keywordAuthor | inner reinforcement of a vehicle&apos | - |
dc.subject.keywordAuthor | s hood | - |
dc.subject.keywordAuthor | topology optimization | - |
dc.identifier.url | https://www.ksae.org/journal_list/search_index.php?mode=view&sid=5100 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
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.