ANFIS-Based Accurate Estimation of the Confinement Effect for Concrete-Filled Steel Tubular (CFST)

This research is mainly focused on the accurate estimation of the confinement effect for the concrete-filled steel tubular (CFST) that makes it possible to evaluate the interaction between various parameters that affect the confinement effect. To do that, the CFST is analyzed with concrete and steel properties using ANFIS method. With respect to the shape of the CFST, both the circular and rectangle shapes are considered. Only then, the D/t ratio is increased and reduced the hoop stress, self-stress in the steel tube. To analyze the D/t ratio, the confinement effect and axial load capacity is determined. After that, the concrete strength is also analyzed according to their statistical measures like output target ratio (OTR), precision, efficiency, mean value (MV), mean square error (MSE), standard deviation (SD), etc. The proposed method is implemented in MATLAB platform and compared with the Artificial Neural Network (ANN) method. The proposed ANFIS method achieved a good prediction of the confinement effect and axial load capacity of the CFST.