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Sensors (Basel). 2019 Apr 15;19(8). pii: E1792. doi: 10.3390/s19081792.

Compressive Behavior of Composite Concrete Columns with Encased FRP Confined Concrete Cores.

Author information

1
College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China. y928@njtech.edu.cn.
2
College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China. qiyujun@njtech.edu.cn.
3
College of Civil Engineering, Southeast University, Nanjing 210096, China. sunyl@seu.edu.cn.
4
College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China. xzj1994@njtech.edu.cn.
5
College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China. wqliu@njtech.edu.cn.

Abstract

A composite concrete column with encased fiber reinforced polymer (FRP) confined concrete cores (EFCCC) is proposed in this paper. The cross-sectional form of the EFCCC column is composed of several orderly arranged FRP confined concrete cores (FCCCs) surrounding a filled core concrete. This novel composite column has several advantages, such as higher compressive capacity, stronger FRP confinement, and ductile response. The compressive experiment is employed to investigate the compressive behavior of the EFCCC column with deferent parameters, such as outside concrete and stirrups. Test results show that the main failure mode of the EFCCC column with and without an outside concrete or stirrups is tensile fracture of the glass fiber reinforced polymer (GFRP) tubes. Compared to a reinforced concrete (RC) column, the strength and ductility of the EFCCC column was obviously improved by 20% and 500%, respectively. A finite element model (FEM) based on the Drucker-Prager (D-P) was developed that can accurately predict the axial compression behavior of the composite column with FRP confined concrete core. The predicted results obtained by using this FEM have excellent agreement with the experimental results.

KEYWORDS:

Drucker–Prager model; average stress; confined concrete; ductility; failure modes; fiber reinforced polymer (FRP)

PMID:
30991644
DOI:
10.3390/s19081792
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