Effectiveness of Rubberized Concrete by Using Adaptive Network-Based Fuzzy Inference System

Rubberized concrete, a mixture prepared with different ratio of waste rubber shreds as a partial substitute of coarse aggregates, was found in this research by experiments and modeling.For this purpose, cubes, prisms and cylinders were cast by replacing 2.5%,5% and 7.5% of coarse aggregates.Compressive strength, flexural strength and Young's modulus tests were carried out on cubes,prisms and cylinders respectively.ANFIS models were created in order to stimulate and forecast the mechanical properties of rubberized concrete specimens.The input parameters of this modelswere percentage of rubber volume fraction, coarseaggregate, binder/sandratioconcrete .The output parameters of this models were compressive strength, Flexural strength and modulus of elasticity .The test data required for ANFIS modeling were obtained from relevant literature.The ANFIS modeling has been conducted and the mechanical properties of rubberized concrete were predicted using four membership functions.The results predicted through ANFIS modeling show good convergence with the experimental results.