Open AccessStrength Prediction of GPC using Alkali pH, Salinity, Temperature, and Conductivity as Continuous Predictors
Author(s) -
Solomon Oyebisi,
E. F. Owolabi,
H. I. Owamah,
John Oluwafemi,
O. W. Ayanbisi
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1107/1/012145
Subject(s) - compressive strength , ground granulated blast furnace slag , sodium silicate , sodium hydroxide , curing (chemistry) , alkali metal , cementitious , materials science , conductivity , salinity , chemistry , composite material , cement , organic chemistry , geology , oceanography
This study explored the chemistry of alkaline activators, and their physical properties were used to predict the compressive strength of geopolymer concrete (GPC). Sodium silicate (Na 2 SiO 3 ) gel and six various pellets of sodium hydroxide (NaOH) were used as the alkaline activators. Ground granulated blast furnace slag (GGBFS) and corncob ash (CCA) were utilized as supplementary cementitious materials (SCMs) in the production of GPC. A mix design proportion of Grade 30 MPa concrete and 14 M of alkaline activator (AA) was adopted. The concrete constituents were prepared, cured, and tested at 7, 28, 56, and 90 days. The relationship between the compressive strengths and the pH, temperature, salinity, and conductivity of alkaline activator was modelled. The experimental findings indicated that the temperature, conductivity and salinity of the alkali increased with increasing pH. Besides, the compressive strength of GPC increased with increasing alkali’s pH, temperature, conductivity, and salinity. The coefficients of determinations (R 2 ) showed that the models were 84, 90, 90, and 89% fit to predict the relationship at 7, 28, 56, and 90 days curing, respectively. These findings can be used to predict the strength trends of GPC incorporating SCMs.