Geosound, vol.55, no.1, pp.71-79, 2022 (Peer-Reviewed Journal)
Quantitative X-ray diffractometry using a Rietveld-based computational method was carried
out for a series of Calcium Aluminate Cement (CAC) samples. This indicated that the CA
content ranged between 37.7% to 47.7% while Brownmillerite (C4AF) amount varies between
11.0% to 23.6%. Magnetite was found in all the samples, ranging from 0.7% to 3.9% while
Gehlenite amount varies between 0.5% and 6.5%. The amount of spinel varies between 0.5%
and 0.1% and its average value is 1.3%.. The amorphous content of CAC is ranged between
12.0% and 32%. The Mayenite and amorphous content could be a good indicator of the Rapid
Hardening (RH) property of CAC. Samples with the high Mayenite content showed less RH
properties, whereas RH increased as the content of amorphous material increased. The RH
properties of CAC based on its mineralogical composition was predicted through various
neural network techniques. The R2 value of the models was 0.39 for Linear Regression
analysis model (LR), 0.56 for feed forward neural network (ANN) and 0.78 for Generalized
Regression Neural Network (GRNN) approaches. The best prediction approach for RH value
of the CAC with an Al2O3 content of 40% was GRNN that can be applied to predict RH.