期刊
CEMENT & CONCRETE COMPOSITES
卷 128, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.cemconcomp.2022.104454
关键词
Carbon nanomaterials; Cementitious composite; Electrical resistivity; Piezoresistivity; Microstructure; Smart concrete
资金
- Australian Research Council, Australia [IH150100006, IH200100010, DP220101051]
- University of Technology Sydney, Australia Research Academic Pro-gram at Tech Lab (UTS RAPT)
This paper critically reviews the dispersion and percolation of carbon nanomaterials in smart cementitious composites and their effects on the electrical and piezoresistive performances. The challenges and perspectives for future development of self-sensing stability, data acquisition system, and sensor configuration are proposed.
Conductive carbon nanomaterials have been extensively developed for smart cementitious composites to gain multifunctionalities (e.g. self-sensing, self-healing, self-heating, and electromagnetic interference shielding). This paper critically reviewed dispersion and percolation of 0 dimension (0D), 1 dimension (1D) and 2 dimensions (2D) carbon materials used in cementitious composites and their effects on the electrical and piezoresistive performances. The different dispersion methods summarized are from mechanical dispersion, ultrasonic and high shearing, chemical modification, mineral additives, to carbon materials at multiple dimensions and hybrid dispersion methods. The electrical resistivity and piezoresistivity of cementitious composites with single carbon material or hybrid carbon materials are comprehensively analysed and compared in terms of efficiency and self sensing mechanism. Furthermore, the existing theoretical modelling studies have been reviewed, indicating that many factors related to the electrical and piezoresistive behaviours, such as water content and nanocomposite agglomeration, have not been considered yet. Although some previous studies demonstrated the potential of applying conductive cementitious composites for self-sensing or heating pavements, further explorations still should be conducted on sustainable and economical manufacturing. Subsequently, the challenges and perspectives of the self-sensing stability, data acquisition system and sensor configuration are proposed with potential solutions for future smart infrastructure.
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