Experimental Investigations and Prediction of Thermal Behaviour of Ferrosialate-Based Geopolymer Mortars

摘要: This paper studies the thermal behaviour of ferrosialate geopolymer mortars. is done by monitoring various factors influencing strength gain/loss, weight loss, enthalpy changes, physical and chemical transformations in structure using TG/DT analysis. study proposed a novel predictive equation for estimating this parameter with help gene expression programming (GEP). Fly ash used as raw feed sialate geopolymer, red mud along fly geopolymer. Till 200 °C, oven-cured samples showed maximum results. Whereas later stages, i.e. after exposure to 400 °C, ambient cured surpassed former 4.14%. Development broad amorphous hump XRD patterns, presence thicker SEM images 400 °C samples, an exothermic peak DTA curves at increment compressive up exposure, all pointing conclusion that elevated temperature-favoured formation till 400 °C. After 800 °C, loss 68.57% 30.3% observed dehydroxylation, recrystallization, melting unreacted particles are reasons diminishing temperatures. An GEP model (r2 = 0.913) having nine genes can predict residual Though similar technique be easily adapted other types geopolymers.