Evolutionary Polynomial Regression Algorithm Enhanced with a Robust Formulation: Application to Shear Strength Prediction of RC Beams without Stirrups

2021 ◽  
Vol 35 (6) ◽  
pp. 04021017
Author(s):  
Sebastiano Marasco ◽  
Alessandra Fiore ◽  
Rita Greco ◽  
Gian Paolo Cimellaro ◽  
Giuseppe Carlo Marano
Keyword(s):  
Shear Strength ◽  
Polynomial Regression ◽  
Strength Prediction ◽  
Rc Beams ◽  
Evolutionary Polynomial Regression ◽  
Robust Formulation

scholarly journals Shear strength of fibre reinforced polymers (FRP) used as internal reinforcement for reinforced concrete (RC) beams

2021 ◽  
Vol 19 (2) ◽  
pp. 207-218
Author(s):  
Milos Milovancevic
Keyword(s):  
Shear Strength ◽  
Reinforced Concrete ◽  
Fuzzy Inference ◽  
Selection Procedure ◽  
Beam Width ◽  
Strength Prediction ◽  
Strength Analysis ◽  
Rc Beams ◽  
Reinforced Polymers ◽  
Inference System

The 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 FRP-RC beams. This selected two predictors could be used effectively to estimate the strength of the FRP-RC beams.

Sign in / Sign up

Export Citation Format

Share Document