Prediction of compressive strength of alternative concretes of calcium sulfoaluminate cements cured under different conditions

In this work a statistical model was determined to predict the compressive strength of calcium sulfoaluminate concretes cured under different solutions: distilled water, tap water, 0.5 N HCl, and 0.5 N H 2 SO 4 . The different storage solutions and time were the independent variables in the study involving mechanical aspects and durability approaches. The concretes were prepared under ACI and ASTM standards, water/binder ratios of 0.5, 0.7 and 0.9 were used, and fine/coarse aggregate proportions of 0.9–1.3 were used. Compressive strength tests were performed after 1, 7, 14, 28, and 90 days of curing. The analysis was developed using the multiple linear regression statistical method. The multivariate power function model was expressed as a function of time for the different experimental conditions used in the manufacture of the mixtures such as the sand/gravel and the water/cement ratios. The equations express outcomes for the estimation of compressive strength that fits correctly with the experimental results. The results indicate that the models mostly explain the variability of the strength in the mixtures in the ranges of 89–99 %, except for curing in H 2 SO 4 where it only adjusts to 33 %, evidencing the deterioration suffered by the specimens under this attack.