Retracted: Sensitivity analyzing of compressive strength of concrete aggregates by adaptive neuro fuzzy approach

Abstract

The main aim of the study was to analyze the impact of cement content, slump and for different percentage of recycled coarse aggregates (RCA) on the compressive strength prediction of the concrete. The analyzing is performed for different days of modeling of the concrete aggregates. Adaptive neuro-fuzzy inference system (ANFIS) was used in order to determine the parameters influence on the compressive strength prediction. Variable selection process was used to select the most dominant factors, which affect the compressive strength prediction of the concrete aggregates. Results indicated that the cement content has the strongest impact on the compressive strength. Furthermore, combination of cement content and RCA is the optimal combination which has the highest impact on the compressive strength.