Numerical Analysis of GFRP-Reinforced Concrete Continuous Deep Beams

Document Type : Research articles

Authors

1 Civil Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt.

2 Cairo Higher Institute of Engineering, Computer Science, and Management, Cairo, Egypt.

3 Civil Engineering Department, October High Institute for Engineering & Technology, 6 th October City, Egypt

Abstract

This paper presents a numerical investigation of GFRP reinforced concrete continuous deep beams (DBs) using the nonlinear finite element program ANSYS. A 3-D numerical model is proposed for the geometrical and material modeling of the studied deep beams. A validation study has been conducted to affirm the efficacy of the ANSYS program as a reliable analysis tool. The comparison between the experimental results from the literature and the numerical results revealed good harmony between the two, indicating the effectiveness of the numerical simulation in capturing the key aspects of the structural behavior of continuous DBs reinforced with GFRP. A parametric study was carried out to study the effectiveness of various structural parameters on the shear capacity of continuous concrete deep beams reinforced by GFRP bars and steel stirrups. This investigation shows that the ultimate shear capacity of the studied beans increased by 19.70%, 8.30%, 15.50%, 24.90%, 6.90%, and 8.00%, respectively, due to the increase in concrete ultimate strength, GFRP ultimate strength, beam with, beam depth, bottom reinforcement ratio, and top-to-bottom GFRP reinforcement ratio by 40%, 25%, 20%, 20%, 40%, and 12%, respectively. The results show that the ultimate load capacity increased by 71% due to the decrease of the shear span-to-span ratio by 50%. Also, the results show that the vertical web reinforcement has a considerable effect on the ultimate shear capacity of these beams compared to the horizontal web reinforcement, where the ultimate shear capacity increased by 7.1% and 1.8% due to increases in web reinforcement by 33%.

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