Abstract
Recently, the use of fiber-reinforced polymers (FRP)-confinement has increased due to its various favorable effects on concrete structures, such as an increase in strength and ductility. Therefore, researchers have been attracted to exploring the behavior and efficiency of FRP-confinement for concrete structural elements further. The current study investigates improved strength and strain models for FRP confined concrete cylindrical elements. Two new physical methods are proposed for use on a large preliminary evaluated database of 708 specimens for strength and 572 specimens for strain from previous experiments. The first approach is employing artificial neural networks (ANNs), and the second is using the general regression analysis technique for both axial strength and strain of FRP-confined concrete. The accuracy of the newly proposed strain models is quite satisfactory in comparison with previous experimental results. Moreover, the predictions of the proposed ANN models are better than the predictions of previously proposed models based on various statistical indices, such as the correlation coefficient (R) and mean square error (MSE), and can be used to assess the members at the ultimate limit state.
Highlights
The lateral confinement due to fiber-reinforced polymers (FRPs) increases the efficiency of concrete compression members by enhancing their axial load carrying capacity and ductility
The models corresponding to the least values of mean absolute error (MAE) and mean square error (MSE) and the highest value of R can be considered as the best models which can accurately predict the axial strength or strain of confined concrete
The R-value was better for the analytical model compared to the artificial neural networks (ANNs) model (0.8 > 0.72), and the same trend was found members can be written as εcc = (1.85 + 7.46ρκ0.71 ⋅ ρε1.171 ) ⋅ εcο Figure 10 shows the performance of the proposed analytical model for strain and of 22 performance of the ANN model for strain
Summary
The lateral confinement due to fiber-reinforced polymers (FRPs) increases the efficiency of concrete compression members by enhancing their axial load carrying capacity and ductility. Previous experimental results of concrete cylinders externally confined with FRPs, in particular 708 specimens for strength and 512 for strain, were collected and evaluated based on some statistical indices, such as the correlation coefficient (R) and mean square error (MSE) This was done using the previously proposed models for the ultimate conditions of FRP-confined concrete members. The significance of the present study is that the proposed models can accurately capture the axial strain behavior of confined concrete, which is useful for the analysis and design of confined concrete members
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