Evaluation of Fiber Reinforced Polymer Strengthened High Strength Concrete Beams under Cyclic Performance

Sivapriya S.*, Raghunath P. N.**, Suguna K.***
* Department of Civil Engineering, V. R. S. College of Engineering and Technology, Villupuram, Tamil Nadu, India.
**-*** Department of Structural Engineering, Annamalai University, Chidambaram, Tamil Nadu, India.
Periodicity:March - May'2020
DOI : https://doi.org/10.26634/jste.9.1.17135

Abstract

This study focuses on the Artificial Neural Network (ANN) model for predicting the performance of Fibre Reinforced Polymer (FRP) strengthened High Strength Concrete (HSC) beams under cyclic load. The data required for ANN modelling is collected from relevant literature. Back propagation network with Levenberg–Marquardt, Bayesian Regularization and Scaled Conjugate Gradient were chosen for the proposed network, which is implemented using the programming package MATLAB. In the present study, the experimental results were obtained for FRP strengthened HSC beams under cyclic load applied by Push pull jack and Actuator. The investigation has been performed by comparing the test results with the results predicted by the neural network and the regression modeling. The accuracy of the proposed model has been ascertained using statistical indicators such as RMSE, R² and MAE. The scatter plots are drawn for ANN and regression results. Comparing the proposed results with existing experimental results exhibits very good convergence.

Keywords

Artificial Neural Network, HSC Beams, Fiber Reinforced Polymer, Regression Modeling, Cyclic Load, FRP Strengthened, Regression for Fatigue Life Assessment.

How to Cite this Article?

Sivapriya, S., Raghunath, P. N., and Suguna, K. (2020). Evaluation of Fiber Reinforced Polymer Strengthened High Strength Concrete Beams under Cyclic Performance. i-manager's Journal on Structural Engineering, 9(1), 17-34. https://doi.org/10.26634/jste.9.1.17135

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