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.

这项研究主要集中在对钢管混凝土（CFST）的约束效果的准确估计上，从而可以评估影响约束效果的各种参数之间的相互作用。为此，使用ANFIS方法对CFST进行混凝土和钢性能分析。关于CFST的形状，考虑了圆形和矩形。只有这样，D / t比率才能增加并减小钢管中的环向应力，自应力。分析D / t确定比率，约束效果和轴向承载能力。之后，还根据其统计指标，如输出目标比（OTR），精度，效率，平均值（MV），均方误差（MSE），标准差（SD）等对混凝土强度进行分析。在MATLAB平台中实现，并与人工神经网络（ANN）方法进行了比较。所提出的ANFIS方法可以很好地预测CFST的约束效果和轴向承载能力。