Assessment of Rheological and Piezoresistive Properties of Graphene based Cement Composites

被引:0
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作者
Sardar Kashif Ur Rehman
Zainah Ibrahim
Mohammad Jameel
Shazim Ali Memon
Muhammad Faisal Javed
Muhammad Aslam
Kashif Mehmood
Sohaib Nazar
机构
[1] University of Malaya,Department of Civil Engineering
[2] Lords Institute of Engineering & Technology,Civil Engineering Department
[3] Nazarbayev University,Department of Civil Engineering, School of Engineering
[4] Institute of Southern Punjab,Department of Civil Engineering, School of Engineering & Technology
[5] COMSATS University Islamabad,Department of Civil Engineering
[6] City University of Science & Information Technology,Department of Civil Engineering
[7] Sarhad University of Science and Information Technology,Department of Civil Engineering
关键词
rheological properties; yield stress; graphene nanoplatelets; rheological models; self-sensing; piezoresistive properties;
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摘要
The concrete production processes including materials mixing, pumping, transportation, injection, pouring, moulding and compaction, are dependent on the rheological properties. Hence, in this research, the rheological properties of fresh cement paste with different content of graphene (0.03, 0.05 and 0.10% by weight of cement) were investigated. The parameters considered were test geometries (concentric cylinders and parallel plates), shear rate range (300–0.6, 200–0.6 and 100–0.6 s−1), resting time (0, 30 and 60 min) and superplasticizer dosage (0 and 0.1% by weight of cement). Four rheological prediction models such as Modified Bingham, Herschel–Bulkley, Bingham model and Casson model were chosen for the estimation of the yield stress, plastic viscosity and trend of the flow curves. The effectiveness of these rheological models in predicting the flow properties of cement paste was verified by considering the standard error method. Test results showed that the yield stress and the plastic viscosity increased with the increase in graphene content and resting time while the yield stress and the plastic viscosity decreased with the increase in the dosage of superplasticizer. At higher shear rate range, the yield stress increased while the plastic viscosities decreased. The Herschel–Bulkley model with the lowest average standard error and standard deviation value was found to best fit the experimental data, whereas, Casson model was found to be the most unfitted model. Graphene reduces the flow diameter and electrical resistivity up to 9.3 and 67.8% and enhances load carrying capacity and strain up to 16.7 and 70.1% of the composite specimen as compared with plain cement specimen. Moreover, it opened a new dimension for graphene-cement composite as smart sensing building construction material.
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