RETRACTED: Prediction of Resistance to Water Damage of Geopolymers with Seeded Fly Ash and Rice Husk Bark Ash by Fuzzy Logic

Abstract

In this study, percentage of water absorption of geopolymers made from seeded fly ash and rice husk bark ash has been predicted by fuzzy logic. Different specimens, made from a mixture of fly ash and rice husk bark ash in fine and coarse forms, together with alkali activator made (a solution of water glass and NaOH), were subjected to permeability tests at 7 and 28 days of curing. The curing regime was different: one set of the specimens was cured at room tem- perature until 7 and 28 days and the other sets were oven cured for 36 h at the range 4090 � C and then cured at room temperature until 7 and 28 days. A model based on fuzzy logic for predicting the percentage of water absorption of the specimens has been presented. To build the model, training and testing using experimental results from 120 specimens were conducted. The data used as inputs of fuzzy logic model are arranged in a format of six parameters that cover the percentage of fine fly ash in the ashes mixture, the percentage of coarse fly ash in the ashes mixture, the percentage of fine rice husk bark ash in the ashes mixture, the percentage of coarse rice husk bark ash in the ashes mixture, the temperature of curing, and the time of water curing. According to these input parameters, in the fuzzy logic model, the percentage of water absorption of each specimen was predicted. It has been found that fuzzy model will be valid within the ranges of variables. The training and testing results in the fuzzy logic model have shown a strong potential for predicting the percentage of water absorption of the geopolymer specimens.