Document Type
Article
Publication Date
1-2022
Abstract
Cement-based piezoresistive composites have attracted significant attention as smart construction materials for embedding self-sensing capability in concrete infrastructure. Although a number of studies have been conducted using multi-walled carbon nanotubes (MWCNTs) as a functional filler for self-sensing cement-based composites, studies addressing the influence of the internal moisture state on the electrical properties are relatively scant. In this study, we aim to experimentally investigate the effect of internal moisture state on the electrical resistivity of cement-based composites containing MWCNTs as an electrically conductive medium to raise a need for calibration of self-sensing data considering the internal moisture state. To this end, the moisture dependence of electrical resistivity in under-percolated cement-based composites was mainly evaluated, along with other material properties such as strength, shrinkage, and flowability. Results revealed that the electrical resistivity increased almost linearly as the internal relative humidity (IRH) decreased, and the increase was more pronounced below the percolation threshold. In addition, it was found that the strength gained by the microfiller effect of MWCNTs was significantly reduced particularly in under-percolated mixtures, leading to overall strength reductions. Furthermore, this study showed that the more the MWCNT was added, the smaller the flowability was obtained due to the increased viscosity of the mixture. The findings of this study are expected to provide pivotal information for accurate and reliable interpretations of self-sensing data generated by MWCNT-embedded cement-based composites.
Recommended Citation
Hong, Geuntae, Seongcheol Choi, Doo-Yeol Yoo, Taekgeun Oh, Yooseob Song, and Jung Heum Yeon. 2022. “Moisture Dependence of Electrical Resistivity in Under-Percolated Cement-Based Composites with Multi-Walled Carbon Nanotubes.” Journal of Materials Research and Technology 16 (January): 47–58. https://doi.org/10.1016/j.jmrt.2021.11.151.
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This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Publication Title
Journal of Materials Research and Technology
DOI
10.1016/j.jmrt.2021.11.151
Comments
Published by Elsevier B.V.