Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109226
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorWang, X-
dc.creatorDing, S-
dc.creatorNi, YQ-
dc.creatorZhang, L-
dc.creatorDong, S-
dc.creatorHan, B-
dc.date.accessioned2024-10-03T08:15:04Z-
dc.date.available2024-10-03T08:15:04Z-
dc.identifier.urihttp://hdl.handle.net/10397/109226-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2024 The Authors. Published by Elsevier Ltd on behalf of Zhejiang University and Zhejiang University Press Co., Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Wang, X., Ding, S., Ni, Y.-Q., Zhang, L., Dong, S., & Han, B. (2024). Intrinsic self-sensing concrete to energize infrastructure intelligence and resilience: A review. Journal of Infrastructure Intelligence and Resilience, 3(2), 100094 is available at https://doi.org/10.1016/j.iintel.2024.100094.en_US
dc.subjectConcreteen_US
dc.subjectIn-situ monitoringen_US
dc.subjectInfrastructuresen_US
dc.subjectIntelligenceen_US
dc.subjectResilienceen_US
dc.subjectSelf-sensingen_US
dc.titleIntrinsic self-sensing concrete to energize infrastructure intelligence and resilience : a reviewen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume3-
dc.identifier.issue2-
dc.identifier.doi10.1016/j.iintel.2024.100094-
dcterms.abstractUnder loading and environmental actions, infrastructures undergo continuous aging and deterioration of the constituent materials during their service lifespan. In-situ monitoring the aging and deterioration at material level of infrastructures can provide effective protection and maintenance prior to serious failure, thus enhancing their safety and lifespan as well as resilience. Therefore, self-sensing performance of materials is an important paradigm for updating infrastructures with intelligent digital insights. Concrete, the most widely used engineering material for infrastructure construction, inherently lacks self-sensing property. The incorporation of functional fillers can form a conductive sensory “neural” system inside concrete, thus empowering concrete with the capability to sense stress (or force), strain (or deformation), and damage (e.g., cracking, fatigue) in itself, and also improving (or maintaining) its mechanical properties and durability. The emergence of intrinsic self-sensing concrete has laid a material foundation for realizing in-situ monitoring, contributing to the development of intelligent and resilient infrastructures. This review concisely introduces the significant research progress of research on the composition and preparation, measurement and characterization, performance and control, mechanism and model, and application of intrinsic self-sensing concrete in civil and transportation infrastructures, as well as current challenges and roadmap for its future development.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of infrastructure intelligence and resilience, June 2024, v. 3, no. 2, 100094-
dcterms.isPartOfJournal of infrastructure intelligence and resilience-
dcterms.issued2024-06-
dc.identifier.scopus2-s2.0-85189094223-
dc.identifier.eissn2772-9915-
dc.identifier.artn100094-
dc.description.validate202410 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Othersen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Science Foundation of China; Innovation and Technology Commission of Hong Kong SAR Government to the Hong Kong Branch of National Engineering Research Center on Rail Transit Electrification and Automation; Provincial-Municipal Joint Fund (Youth Fund) of Guangdong Basic and Applied Basic Research Foundation, China; Jiangxi Provincial Natural Science Foundation, China; Major Science and Technology Research Project of the China Building Materials Federationen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
1-s2.0-S2772991524000136-main.pdf15.12 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

22
Citations as of Nov 24, 2024

Downloads

12
Citations as of Nov 24, 2024

SCOPUSTM   
Citations

4
Citations as of Nov 21, 2024

Google ScholarTM

Check

Altmetric


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