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Self-Sensing Cementitious Composites with Hierarchical Carbon Fiber-Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder
Ding, Siqi1; Wang, Xinyue2; Qiu, Liangsheng2; Ni, Yi-Qing3; Dong, Xufeng4; Cui, Yanbin5; Ashour, Ashraf6; Han, Baoguo2; Ou, Jinping1
2022-12-20
Source PublicationSMALL
ISSN1613-6810
Pages16
AbstractIn view of high-performance, multifunctional, and low-carbon development of infrastructures, there is a growing demand for smart engineering materials, making infrastructures intelligent. This paper reports a new-generation self-sensing cementitious composite (SSCC) incorporated with a hierarchically structured carbon fiber (CF)-carbon nanotube (CNT) composite filler (CF-CNT), which is in situ synthesized by directly growing CNT on CF. Various important factors including catalyst, temperature, and gas composition are considered to investigate their kinetic and thermodynamic influence on CF-CNT synthesis. The reciprocal architecture of CF-CNT not only alleviates the CNT aggregation, but also significantly improves the interfacial bonding between CF-CNT and matrix. Due to the synergic and spatially morphological effects of CF-CNT, that is, the formation of widely distributed multiscale reinforcement networks, SSCCs with CF-CNTs exhibit high mechanical properties and electrical conductivity as well as excellent self-sensing performances, particularly enhanced sensing repeatability. Moreover, the SSCCs with CF-CNTs are integrated into a full-scale maglev girder to devise a smart system for crack development monitoring. The system demonstrates high sensitivity and fidelity to capture the initiation of cracks/damage, as well as progressive and sudden damage events until the complete failure of the maglev girder, indicating its considerable potential for structural health monitoring of infrastructures.
Keywordcarbon fibers carbon nanotubes crack damage monitoring of maglev girder in situ synthesis self-sensing cementitious composites
DOI10.1002/smll.202206258
Language英语
WOS KeywordMECHANICAL-PROPERTIES ; ELECTRICAL CHARACTERISTICS ; CONCRETE ; MICROSTRUCTURE ; TENSILE ; GROWTH ; PIEZORESISTIVITY ; RESISTIVITY ; FABRICATION ; DISPERSION
Funding ProjectNational Science Foundation of China ; China Postdoctoral Science Foundation ; [51978127] ; [51578110] ; [2022M710973] ; [2022M720648]
WOS Research AreaChemistry ; Science & Technology - Other Topics ; Materials Science ; Physics
WOS SubjectChemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied ; Physics, Condensed Matter
Funding OrganizationNational Science Foundation of China ; China Postdoctoral Science Foundation
WOS IDWOS:000899262300001
PublisherWILEY-V C H VERLAG GMBH
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/56272
Collection中国科学院过程工程研究所
Corresponding AuthorHan, Baoguo
Affiliation1.Harbin Inst Technol, Sch Civil & Environm Engn, Shenzhen 518055, Peoples R China
2.Dalian Univ Technol, Sch Civil Engn, Dalian 116024, Peoples R China
3.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hung Hom, Kowloon, Hong Kong, Peoples R China
4.Dalian Univ Technol, Sch Mat Sci & Engn, Dalian 116024, Peoples R China
5.Chinese Acad Sci, Inst Proc Engn, Beijing 100190, Peoples R China
6.Univ Bradford, Fac Engn & Informat, Bradford BD7 1DP, England
Recommended Citation
GB/T 7714
Ding, Siqi,Wang, Xinyue,Qiu, Liangsheng,et al. Self-Sensing Cementitious Composites with Hierarchical Carbon Fiber-Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder[J]. SMALL,2022:16.
APA Ding, Siqi.,Wang, Xinyue.,Qiu, Liangsheng.,Ni, Yi-Qing.,Dong, Xufeng.,...&Ou, Jinping.(2022).Self-Sensing Cementitious Composites with Hierarchical Carbon Fiber-Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder.SMALL,16.
MLA Ding, Siqi,et al."Self-Sensing Cementitious Composites with Hierarchical Carbon Fiber-Carbon Nanotube Composite Fillers for Crack Development Monitoring of a Maglev Girder".SMALL (2022):16.
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