Prediction of properties of recycled aggregate concrete

Upotreba recikliranih materijala kao zamjene prirodnom agregatu u betonu značajna je iz ekološki prihvatljivog aspekta njegove ponovne upotrebe. Veza između komponenti betona i njegovih svojstava ne može biti prikazana samo na osnovi matematičkih formula. Prema tome, primijenjene su umjetne neuronske mreže i regresijska analiza eksperimentalnih rezultata postignutih planiranjem eksperimenta. Dokazano je da obje primijenjene tehnike omogućuju visoku pouzdanost za modeliranje svojstava betona na osnovi njegovih komponenti.Use of recycled materials as replacement for natural aggregate in concrete is important considering the environmentally beneficial aspect of its re-use. Relations between concrete components and concrete properties cannot be presented based on mathematical formulas only. Consequently, artificial neural networks and regression techniques were applied to analyse experimental results obtained according to previous experimental design. It was established that both techniques enable highly reliable modelling of concrete properties based on its components