탄소나노튜브 기반 보수재 응력 감응형 성능 평가
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 전혜경 | - |
dc.contributor.author | 정유진 | - |
dc.contributor.author | 김창영 | - |
dc.contributor.author | 장승환 | - |
dc.date.accessioned | 2024-09-10T05:30:20Z | - |
dc.date.available | 2024-09-10T05:30:20Z | - |
dc.date.issued | 2023-11 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120467 | - |
dc.description.abstract | 본 연구는 기존 구조물 유지보수 방법에서 발생하는 문제점을 보완하기 위해 구조물 균열 보수 후 에도 구조물에 발생하는 응력 감지가 가능한 탄소나노튜브 기반 보수재를 개발하고, 이를 구조물에 적 용하여 성능을 평가하였다. | - |
dc.description.abstract | This study developed a carbon nanotube based repair material that can detect stress occurring in the structure even after structural crack repair in order to complement the problems arising from existing structure maintenance methods, and applied it to the structure to evaluate its performance. | - |
dc.format.extent | 2 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 한국콘크리트학회 | - |
dc.title | 탄소나노튜브 기반 보수재 응력 감응형 성능 평가 | - |
dc.title.alternative | Evaluation of Self-sensing Properties of Carbon Nanotube Based Repair Materials | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.bibliographicCitation | 2023년도 가을 한국콘크리트학회 학술대회, v.35, no.2, pp 627 - 628 | - |
dc.citation.title | 2023년도 가을 한국콘크리트학회 학술대회 | - |
dc.citation.volume | 35 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 627 | - |
dc.citation.endPage | 628 | - |
dc.type.docType | Proceeding | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11618577 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG 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.