A Brief Review on Compression Strength Prediction Models of Alkaline-Activated Slag Concrete

In the present construction sector, alkali-activated slag (AAS) concrete is classified as green concrete. However, it is still infrequently used because site engineers and workers have little expertise with the mix proportion of this novel material for achieving the appropriate concrete strength compared to ordinary Portland cement (OPC) concrete. Experiments and tests are thus required to determine an optimised AASC design mix for a specific design strength. A strength prediction model would be a valid way at this early stage to estimate the characteristic strength of concrete at different mixing ratios and to produce an optimised AASC mixing ratio with the desired concrete strength. As a result, developing a reliable approach to forecast concrete strength is critical. This paper summarises the prediction of concrete compression strength of AASC. The prediction model using the artificial neural network method is thoroughly explored. The determinants alternating AASC strength have also been highlighted for further study. Overall, a trustworthy concrete strength prediction model should be developed for use in the construction industry.