Predicting the behavior of reinforced concrete columns confined by fiber reinforced polymers using data mining techniques

Sahar Y Ghanem,Heba Elgazzar

doi:10.1007/s42452-020-04136-5

Sahar Y Ghanem, Heba Elgazzar

Open Access

https://doi.org/10.1007/s42452-020-04136-5

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Abstract

Fiber Reinforced Polymer (FRP) usage to wrap reinforced concrete (RC) structures has become a popular technology. Most studies about RC columns wrapped with FRP in literature ignored the internal steel reinforcement. This paper aims to develop a model for the axial compressive strength and axial strain for FRP confined concrete columns with internal steel reinforcement. The impact of FRP, Transverse, and longitudinal reinforcement is studied. Two non-destructive analysis methods are explored: Artificial Neural Networks (ANNs) and Regression Analysis (RA). The database used in the analysis contains the experimental results of sixty-four concrete columns under the compressive concentric load available in the literature. The results show that both models can predict the column's compressive stress and strain reasonably with low error and high accuracy. FRP has the highest effect on the confined compressive stress and strain compared to other materials. While the longitudinal steel actively contributes to the compressive strength, and the transverse steel actively contributes to the compressive strain.

Highlights

The use of Fiber Reinforced Polymer (FRP) to wrap reinforced concrete (RC) structures has become a popular technology [1]
The estimation of RC columns wrapped with FRP compressive strength and strain at failure is usually achieved by destructive methods through lab testing, requiring a high level of effort and funds
The purpose of this paper is to develop a model for the axial compressive strength and axial strain for FRP confined circular concrete columns with internal steel reinforcement using parameters that depend on the materials’ properties and geometry

Summary

Introduction

The use of Fiber Reinforced Polymer (FRP) to wrap reinforced concrete (RC) structures has become a popular technology [1]. For RC columns, FRP is used to wrap the concrete externally. This practice enhances columns’ capacity to increase ductility, moment, ultimate compressive load capacity, ultimate deformability, and energy absorption compared to unconfined columns [2, 3]. Most studies about RC columns wrapped with FRP in literature ignored the internal steel reinforcement [4] or estimated the total confinement pressure as the sum of the confinement pressure due to the external FRP and the confinement pressure due to the internal steel [5], with few models to account for both [6, 7]. One of the challenges that face a designer of RC columns wrapped with FRP is to estimate the compressive strength and strain at failure. That is usually achieved by destructive methods through lab testing or non-destructive method as analytical models

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