Application of fuzzy logic in the prediction of compressive strength of cement mortar containing nano and micro silica

A fuzzy logic (FL) prediction model for the 28-day compressive strength of cement mortar containing Micro and Nano silica under standard curing conditions was create. Pre-collected data were used in model construction and testing. The input variables of FL model were W/C, S/C, Ns/C, Ms/C, cement content, and porosity values of cement mortar hardened specimens, while the output variable were 28-day cement mortar compressive strength. The Mamdani fuzzy rules relating the input variables to the output variable were created by the FL model and were laid out in the if-then format. It was demonstrated that properties of cement mortar containing micro and Nano silica could be determined without attempting any experiments by using FL models. The obtained results with FL were compared with the experimental methods and found remarkably close to each other the results show that the FL can be used to predict the compressive of cement mortar compressive strength containing nano and micro silica.

Keywords:

Modeling , Compressive strength , Fuzzy Logic