Prediction of Compressive Strength of Geopolymers with Seeded Fly Ash and Rice Husk-Bark Ash by Gene Expression Programming

摘要

In the present work, compressive strength of inorganic polymers (geopolymers) made from seeded fly ash and rice husk-bark ash has been predicted by gene expression programming. Different specimens were subjected to compressive strength tests at 7 and 28 days of curing. One set of the specimens were cured at room temperature until reaching to 7 and 28 days and the other sets were oven cured for 36h at the range of 40-90℃ and then room cured until 7 and 28 days. A model based on gene expression programming for predicting the compressive strength of the specimens was presented. To build the model, training and testing using experimental results from 120 specimens were conducted. According to the input parameters, in the gene expression programming models, the compressive strength of each specimen was predicted. The training and testing results in the gene expression programming models have shown a strong potential for predicting the compressive strength of the geopolymer specimens.