###### Abstract
The application of FRP wraps to increase the load-carrying capacity of reinforced concrete structures has certain advantages, such as corrosion resistance, a light weight, high stiffness and easy adaptability to the shape of the structure [11]. [PERSON] et al. [12] investigated the effect of using FRP wire wraps on the structural behavior of concrete. The application of FRP wire wraps was found to increase the peak strength and reduce volumetric expansion. [PERSON] et al. [13] carried out experiments with full scale reinforced concrete columns with insufficient transverse steel reinforcement, retrofitted with carbon fiber- and glass fiber-reinforced polymer wraps. The specimens were tested under lateral cyclic loading. During cyclic loading, it was observed that adding more FRP layers enhances the stiffness and strength. It was also shown that deficient columns properly retrofitted with CFRP can perform better than sufficiently reinforced columns without CFRP wraps. [PERSON] et al. [14] tested AFRP-confined concrete specimens under high strain rate compression. The effect of changing the confinement layer thicknesses was also investigated. The AFRP confinement was shown to improve the dynamic strength, ultimate strain and impact resistance of the tested specimens. [PERSON] et al. [15] conducted axial compression experiments on square reinforced concrete columns confined with basalt FRP wraps. The basalt-FRP confinement was shown to improve the compressive strength and ductility. It is known that FRP wraps have greater effectiveness in circular columns compared to rectangular columns. In rectangular columns, the effectiveness of confinement is limited to the areas surrounding the corners [2]. [PERSON] et al. [16] investigated the effect of changing the corner radius on the structural behavior of rectangular columns confined with glass fiber-reinforced polymer (GFRP) wraps. It was concluded that columns with a corner radius equal to concrete cover have better results, in terms of axial load carrying capacity, compared to columns with a corner radius less than the concrete cover. Due to the differences in the confinement of rectangular and circular columns, different sets of equations have been proposed in the literature for the prediction of the compressive strength and ultimate strain of FRP-wrapped columns with circular and rectangular cross-sections. Some of these equations do not distinguish between different fiber materials [17; 18; 19; 20], whereas others are developed specifically for FRP wraps made of aramid fibers [21; 22; 23; 24]. In recent years, machine learning techniques have been increasingly applied in the field of predicting the mechanical properties of concrete structures. In particular, the effects of different ingredients such as fly ash, silica, or ceramic waste powder on the compressive strength of concrete have been investigated, using techniques such as ensemble machine learning, artificial neural networks and gene expression programming [25; 26; 27]. [PERSON] et al. [28] investigated fly ash-based geopolymer concrete with respect to its compressive strength using the AdaBoost, bagging regressor and decision tree algorithms. The bagging regressor was found to be the most accurate among these algorithms in predicting the compressive strength. [PERSON] et al. [29] used decision tree and AdaBoost algorithms to predict the compressive strength and splitting tensile strength of recycled coarse aggregate-based concrete. A coefficient of determination of 0.95 could be achieved from the AdaBoost algorithm. The applicability of the gene expression programming algorithm in compressive strength prediction was shown by [PERSON] et al. [30] and [PERSON] et al. [31] for recycled aggregate concrete and high strength concrete, respectively. The splitting tensile strength of recycled aggregate-based concrete was also investigated by [PERSON] et al. [32]. Decision tree, random forest and artificial neural network techniques were applied.