Add to ORKGThe main aim of the study was to perform selection procedure in order to find the optimal predictors for the shear strength of fibre reinforced polymers (FRP) used as internal reinforcement for reinforced concrete (RC) beams. The procedure was performed by adaptive neuro fuzzy inference system (ANFIS) and all available parameters are included. The ANFIS model could be used as simplification of the shear strength analysis of the FRP-RC beams. MATLAB software was used for the ANFIS application for the shear strength prediction of the FRP-RC beams. The results from the searching procedure indicated that “beam width” and “effective depth” form the optimal combination of two input attributes or two predictors for the shear strength prediction of...
The use of steel fibers for concrete reinforcement has been growing in recent years owing to the imp...
FPR reinforcing bars have emerged as a promising alternative to steel bars in construction, especial...
The performance of the most well-known models for the prediction of the contribution of FRP systems...
AbstractIn this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference Sy...
yesShear failure of concrete elements reinforced with Fiber Reinforced Polymer (FRP) bars is general...
To calculate the shear capacity of concrete beams reinforced with fibre-reinforced polymer (FRP), cu...
yesThis paper investigates the feasibility of using artificial neural networks (NNs) to predict the ...
In recent years, numerous experimental tests were done on the concrete beams reinforced with the fib...
In this paper, an extensive simulation program is conducted to find out the optimal ANN model to pre...
The fiber-reinforced polymer (FRP) retrofitting technique has been increasingly created to enhance t...
Rebar corrosion in traditional reinforced concrete (RC) components may lead to a decrease in service...
The shear strength prediction of fiber-reinforced polymer- (FRP-) reinforced concrete beams is one o...
This paper proposes the use of the general method based on the modified compression field theory (MC...
Concrete is weak in tension, so steel fibres are added to the concrete members to increase shear cap...
Channel connectors are fairly new alternatives to the shear connectors. Due to their complex behavio...
The use of steel fibers for concrete reinforcement has been growing in recent years owing to the imp...
FPR reinforcing bars have emerged as a promising alternative to steel bars in construction, especial...
The performance of the most well-known models for the prediction of the contribution of FRP systems...
AbstractIn this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference Sy...
yesShear failure of concrete elements reinforced with Fiber Reinforced Polymer (FRP) bars is general...
To calculate the shear capacity of concrete beams reinforced with fibre-reinforced polymer (FRP), cu...
yesThis paper investigates the feasibility of using artificial neural networks (NNs) to predict the ...
In recent years, numerous experimental tests were done on the concrete beams reinforced with the fib...
In this paper, an extensive simulation program is conducted to find out the optimal ANN model to pre...
The fiber-reinforced polymer (FRP) retrofitting technique has been increasingly created to enhance t...
Rebar corrosion in traditional reinforced concrete (RC) components may lead to a decrease in service...
The shear strength prediction of fiber-reinforced polymer- (FRP-) reinforced concrete beams is one o...
This paper proposes the use of the general method based on the modified compression field theory (MC...
Concrete is weak in tension, so steel fibres are added to the concrete members to increase shear cap...
Channel connectors are fairly new alternatives to the shear connectors. Due to their complex behavio...
The use of steel fibers for concrete reinforcement has been growing in recent years owing to the imp...
FPR reinforcing bars have emerged as a promising alternative to steel bars in construction, especial...
The performance of the most well-known models for the prediction of the contribution of FRP systems...