Hybrid fibre reinforced concrete (HFRC) has found applications for concrete members requiring high performance. Incorporation of higher modulus rigid and lower modulus flexible fibres in conventional concrete has been found to possess comparatively higher performance. Therefore, an effort is made in this study to develop a mathematical model for the compressive strength, modulus of rupture, service load and deflection and ultimate load and deflection, deflection ductility, and energy ductility of HFRC specimens using adaptive neuro-fuzzy Inference systems (ANFIS) and compared the predicted results with the experimental results. All the ANFIS take total fibre volume fraction (Vf), a percentage of steel and polyolefin fibre as input variables. The input and output membership function type assigned as 'trimf' (triangular membership function) and linear respectively. From the study, it was observed that the ANFIS successfully applied for predicting the properties of HFRC and the predictions were very closely agreed with experimental results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.