Özet:

In this study, during the production phase of 300 and 350 dosages concretes that has 0.60 water/cement ratio, clipped glass fibre added to the mixture in ratio of four including the filler material and 25, 50, 75 and 100% volume ratio waste marble dust which can be used in place of filler material. Compressive strength, splitting tensile strength, ultrasonic pulse velocity and porosity coefficient of obtained sample were determined. Approximate estimation of compressive strength performed via selecting dosages, fibre ratio, marble dust ratio, porosity coefficient, ultrasonic pulse velocity and splitting tensile strength as an input of Artificial Neural Network (ANN). As a result of this study, developed ANN model compared with the obtained experimental values and it was detected that results match with each other.

Anahtar Kelimeler: