Artificial Neural Network Simulator for Prediction of Compressive Strength in Geopolymer Composites

Geopolymers are highly complex materials which involve many variables which makes modeling its properties very difficult. There is no systematic approach in mix design for Geopolymers. Since the amounts of silica modulus, Na2O content, w/b ratios and curing time have a great influence on the compressive strength an ANN (Artificial Neural Network) method has been established for predicting compressive strength of ground pumice based Geopolymers and the possibilities of adapting ANN and artificial intelligence system for predicting the compressive strength has been studied. Consequently a multilayer ANN by using back propagation architecture can be used for geopolymer compressive strength prediction with acceptable accuracy.

کلیدواژه ها:

geopolymer ، ANN ، mix design ، compressive strength