Artificial Neural Network (ANN) and Finite Element (FEM) Models for GFRP-Reinforced Concrete Columns under Axial Compression

Haytham F Isleem; Bassam A Tayeh; Wesam Salah Alaloul; Muhammad Ali Musarat; Ali Raza

doi:10.3390/ma14237172

Artificial Neural Network (ANN) and Finite Element (FEM) Models for GFRP-Reinforced Concrete Columns under Axial Compression

Materials (Basel). 2021 Nov 25;14(23):7172. doi: 10.3390/ma14237172.

Authors

Haytham F Isleem¹, Bassam A Tayeh², Wesam Salah Alaloul³, Muhammad Ali Musarat³, Ali Raza⁴

Affiliations

¹ Department of Civil Engineering, Tsinghua University, Beijing 180004, China.
² Department of Civil Engineering, Faculty of Engineering, Islamic University of Gaza, Gaza P.O. Box 108, Palestine.
³ Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Tronoh 32610, Malaysia.
⁴ Department of Civil Engineering, University of Engineering and Technology, Taxila 47050, Pakistan.

Abstract

In reinforced concrete structures, the fiber-reinforced polymer (FRP) as reinforcing rebars have been widely used. The use of GFRP (glass fiber-reinforced polymer) bars to solve the steel reinforcement corrosion problem in various concrete structures is now well documented in many research studies. Hollow concrete-core columns (HCCs) are used to make a lightweight structure and reduce its cost. However, the use of FRP bars in HCCs has not yet gained an adequate level of confidence due to the lack of laboratory tests and standard design guidelines. Therefore, the present paper numerically and empirically explores the axial compressive behavior of GFRP-reinforced hollow concrete-core columns (HCCs). A total of 60 HCCs were simulated in the current version of Finite Element Analysis (FEA) ABAQUS. The reference finite element model (FEM) was built for a wide range of test variables of HCCs based on 17 specimens experimentally tested by the same group of researchers. All columns of 250 mm outer diameter, 0, 40, 45, 65, 90, 120 mm circular inner-hole diameter, and a height of 1000 mm were built and simulated. The effects of other parameters cover unconfined concrete strength from 21.2 to 44 MPa, the internal confinement (center to center spiral spacing = 50, 100, and 150 mm), and the amount of longitudinal GFRP bars (ρ_v = 1.78-4.02%). The complex column response was defined by the concrete damaged plastic model (CDPM) and the behavior of the GFRP reinforcement was modeled as a linear-elastic behavior up to failure. The proposed FEM showed an excellent agreement with the tested load-strain responses. Based on the database obtained from the ABAQUS and the laboratory test, different empirical formulas and artificial neural network (ANN) models were further proposed for predicting the softening and hardening behavior of GFRP-RC HCCs.

Keywords: axial load-axial strain; confinement of columns; ductility; glass fiber-reinforced polymer (GFRP); hardening behavior; hollow concrete-core (HCC).