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    Self-sensing cement-based sensors with superhydrophobic and self-cleaning capacities after silane-based surficial treatments

    Year: 2022

    Journal: Case Stud. Constr. Mater., Volume 17, DEC

    Authors: Guo, Yipu; Li, Wengui; Dong, Wenkui; Wang, Kejin; He, Xuzhen; Vessalas, Kirk; Sheng, Daichao

    Organizations: Australian Research Council (ARC), Australia [DE150101751, DP220100036, DP220101051, IH180100010]; University of Technology Sydney Research Academic Program at Tech Lab (UTS RAPT)

    Keywords: Cement-based sensor; Piezoresistivity; Hydrophobicity; Self-cleaning; Water contact angle

    A novel cement-based sensors was developed with integrated self-sensing superhydrophobicity, and self-cleaning functions in this paper. The synthesis was carried out by penetrating precast graphene nanoplate/cement-based sensors with silane/isopropanol solutions. The silane-treated cement-based sensors showed satisfactory stress/strain sensing performance with an average gauge factor of 141.8, and exhibited excellent hydrophobic behaviour with the highest water contact angle of 163 degrees on the intact surface. The contact angle decreased to 148 degrees and 142 degrees, for the surface with scratches and for the inner part of sensors, respectively. The reduction was due to the spalling and less amount of silane particles within the scratches and the harder entry of silane to the inner part of sensor. The self-cleaning properties of silane-treated cement-based sensor were evaluated by the visual observation of removing efficiency of hydrophilic carbon black dust and lipophilic sauces after water rinsing. It was found that the silane-treated cement-based sensor showed excellent self-cleaning performance using hydrophilic carbon dust. Despite the removing efficiency decreased for the lipophilic sauces, the silane-treated cement-based sensors maintained much less stain than that of untreated ones on the surface. The related results will promote the synthesis and practical applications of multifunctional cement-based sensors for the application of intrisic structural health monitoring.
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