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http://dx.doi.org/10.14190/JRCR.2022.10.3.235

Prediction of Percolation Threshold for Electrical Conductivity of CNT-Reinforced Cement Paste  

Lee, Seon Yeol (Department of Civil and Environmental Engineering, Railway Infrastructure Research Center, Sejong University)
Kim, Dong Joo (Department of Civil and Environmental Engineering, Railway Infrastructure Research Center, Sejong University)
Publication Information
Journal of the Korean Recycled Construction Resources Institute / v.10, no.3, 2022 , pp. 235-242 More about this Journal
Abstract
The percolation threshold of the CNT-reinforced cement paste is closely related to the optimal CNT amount to maximize the sensing ability of self-sensing concrete. However, the percolation threshold has various values depending on the cement, CNT, and water-to-cement ratio used. In this study, a percolation simulation model was proposed to predict the percolation threshold of the CNT-reinforced cement paste. The proposed model can simulate the percolation according to the amount of CNT using only the properties of CNT and cement, and for this, the concept of the number of aggregated CNT particles was used. The percolation simulation consists of forming a pre-hydrated cement paste model, random dispersion of CNTs, and percolation investigation. The simulation used CNT-reinforced cement paste with a water-cement ratio of 0.4 to 0.6, and the simulated percolation threshold point showed high accuracy with a simulation residual ratio of up to 7.5 % compared to the literature results.
Keywords
CNT; Cement paste; Percolation threshold; Simulation;
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Times Cited By KSCI : 1  (Citation Analysis)
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