Abstract
In the present study, compressive strength results of geopolymers produced by ordinary Portland cement as aluminosilicate source have been modelled by fuzzy logic. Six main factors including NaOH concentration, water glass to NaOH weight ratio, alkali activator to cement weight ratio, oven curing temperature, oven curing time and water curing regime, each at four levels, were considered for designing. A total of 32 experiments were conducted according to the L32 array proposed by the method. The fuzzy model was constructed by 10 input parameters including NaOH concentration, water glass to NaOH weight ratio, alkali activator to cement weight ratio, oven curing temperature, oven curing time, water curing regime, water glass content, NaOH content, Portland cement content and test trial number. The value for the output layer was the compressive strength. According to the input parameters in the fuzzy model, the constructed network was trained, validated and tested. The results indicate that fuzzy logic is a powerful tool for predicting the compressive strength of geopolymers in the considered range.
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