Design equations for reinforced concrete members strengthened in shear with external FRP reinforcement formulated in an evolutionary multi-objective framework

Abstract

Methods for predicting the shear capacity of FRP shear strengthened RC beams assume the traditional approach of superimposing the contribution of the FRP reinforcing to the contributions from the reinforcing steel and the concrete. These methods become the basis for most guides for the design of externally bonded FRP systems for strengthening concrete structures. The variations among them come from the way they account for the effect of basic shear design parameters on shear capacity. This paper presents a simple method for defining improved equations to calculate the shear capacity of reinforced concrete beams externally shear strengthened with FRP. For the first time, the equations are obtained in a multiobjective optimization framework solved by using genetic algorithms, resulting from considering simultaneously the experimental results of beams with and without FRP external reinforcement. The performance of the new proposed equations is compared to the predictions with some of the current shear design guidelines for strengthening concrete structures using FRPs. The proposed procedure is also reformulated as a constrained optimization problem to provide more conservative shear predictions.

Application of fuzzy logic approach in predicting the lateral confinement coefficient for RC columns wrapped with CFRP

“…Therefore, due to their capabilities of capturing the non-linear relationships existing between variables in a complex system, artificial intelligence-based models have recently been implemented for modeling of several complex systems whose behaviors are not well understood. Potential advantages and benefits of artificial intelligence-based methods have already been highlighted by many substantial studies in the relevant literature [17][18][19]. Among them, fuzzy and neuro-fuzzy techniques have gained more attention over the past decade and so.…”

Shear strength predicting of FRP-strengthened RC beams by using artificial neural networks

“…In these studies, a parametric work conducted some modifications of the design expressions were proposed and checked with experimental results. Perera and Ruiz [30] also proposed and derived equations from genetic algorithms, resulting from simultaneously considering the experimental results of beams with and without FRP external reinforcement. The performance of the proposed equations was compared to the predictions with some of the current shear design guidelines for strengthening concrete structures using FRPs.…”

“…In the literature, there are some studies which have been performed on FRP confinement of concrete and RC members by using ANN [4,[29][30][31][32]. For instance, Elsanadedy et al [29] used neural network and regression models to predict the compressive strength of FRP-confined concrete.…”

Modification of strut effectiveness factor for reinforced concrete deep beams strengthened with CFRP laminates

“…Besides, many studies have been conducted to investigate the behavior and capacity of reinforced concrete (RC) beams strengthened with CFRP in terms of flexure (9,10) and shear (11)(12)(13)(14)(15)(16)(17)(18)(19). Scant research has been conducted on the shear strength of RC deep beams (20)(21)(22) and no attempt has been made to improve the STM to analyze CFRP-strengthened RC deep beams.…”