Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Strain sensing and progressive failure monitoring of glass-fiber-reinforced composites using percolated carbon nanotube networks

Full metadata record
DC Field Value Language
dc.contributor.authorJung, Yeong-Tae-
dc.contributor.authorRoh, Hyung Doh-
dc.contributor.authorLee, In-Yong-
dc.contributor.authorPark, Young-Bin-
dc.date.accessioned2023-09-11T01:33:25Z-
dc.date.available2023-09-11T01:33:25Z-
dc.date.issued2020-03-
dc.identifier.issn2631-6331-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/115168-
dc.description.abstractThis paper presents a study on incorporation of carbon nanotubes (CNTs) in fiber-reinforced plastics for real-time structural health monitoring. CNTs dispersed in a solvent were uniformly spray-coated on the surfaces of glass fiber fabrics, which were then layed-up and impregnated with an unsaturated polyester resin using vacuum-assisted resin transfer molding to form composite samples. Prior to resin infusion, electrodes were embedded on the periphery as well as between the plies for electrical resistance monitoring. The composite sample was subjected to three-point bending, during which the changes in resistances between various electrode pairs were measured and recorded. Experimental results revealed the dependence of resistance change on the loading conditions, amount of CNTs coated, measured directions, and presence of structural failure. In particular, the percolated CNT networks enabled real-time identification of various failure modes, including delamination, fiber breakage, and in-plane compression. The proof-of-concept was demonstrated by fabricating and testing with a scaled-down wind turbine blade. © 2020 The Korean Society for Composite Materials and IOP Publishing Limited-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.publisherIOP Publishing-
dc.titleStrain sensing and progressive failure monitoring of glass-fiber-reinforced composites using percolated carbon nanotube networks-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1088/2631-6331/ab7bc4-
dc.identifier.scopusid2-s2.0-85098112991-
dc.identifier.bibliographicCitationFunctional Composites and Structures, v.2, no.1, pp 1 - 13-
dc.citation.titleFunctional Composites and Structures-
dc.citation.volume2-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage13-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorCarbon nanotube-
dc.subject.keywordAuthorFailure mode identification-
dc.subject.keywordAuthorPercolated network-
dc.subject.keywordAuthorStructural health monitoring-
dc.subject.keywordAuthorWind turbine blade-
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/2631-6331/ab7bc4-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Roh, Hyung Doh photo

Roh, Hyung Doh
ERICA 공학대학 (DEPARTMENT OF MECHANICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE