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Title: Assessment of Rheological and Piezoresistive Properties of Graphene based Cement Composites

Author(s): Sardar Kashif Ur Rehman , Zainah Ibrahim, Mohammad Jameel, Shazim Ali Memon, Muhammad Faisal Javed, Muhammad Aslam, Kashif Mehmood, Sohaib Nazar

Publication: IJCSM

Volume: 12


Appears on pages(s):

Keywords: rheological properties, yield stress, graphene nanoplatelets, rheological models, self-sensing, piezoresistive properties

DOI: https://doi.org/10.1186/s40069-018-0293-0

Date: 9/30/2018

The concrete production processes including materials mixing, pumping, transportation, injection, pouring, mould-ing and compaction, are dependent on the rheological properties. Hence, in this research, the rheological proper-ties 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 capac-ity 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.