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  5. Flexural Behavior of 15-Year-Old Full-Scale Hollow Slab Beams Strengthened with Fiber-Reinforced Composites

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Preprint
en
2023

Flexural Behavior of 15-Year-Old Full-Scale Hollow Slab Beams Strengthened with Fiber-Reinforced Composites

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0 Files

en
2023
DOI: 10.2139/ssrn.4534484

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Zhongya Zhang
Zhongya Zhang

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Jun Yang
Jian Yu
Zhongya Zhang
+4 more

Abstract

A large number of early hollow slab beams suffer from inadequate load carrying capacity, stiffness and durability, resulting from the overloading, environmental deterioration mechanism and poor maintenance. To solve these problems, three 15-year-old full-scale hollow slab beams (taken from a serving bridge in Guangxi, China, with 15.96 m long) were respectively strengthened with steel-reinforced UHPC layer, GFRP-reinforced UHPC layer and CFRP layer. The flexural behaviors of the strengthened beams and the control beam were investigated by field four-point bending test and numerical simulation. The experimental results indicate that the ultimate flexural load capacity and stiffness of hollow slab beams after strengthened are respectively increased by 17%-47% and 5%-18%, and the deflection under service load is decreased by 8%-19%. Meanwhile, UHPC is beneficial to improve the energy absorption capacity of hollow slab beams. The numerical results are in high agreement with the experimental results in terms of ultimate flexural load capacity, load-deflection curves and crack patterns. Moreover, the main bearer of load is the tensile steel bars in the hollow slab beams and the reinforcement layers played an auxiliary role in load bearing. Finally, the accurate prediction formulas for the ultimate flexural load of strengthened hollow slab beams with a maximum error of only 3.5% were proposed.

How to cite this publication

Jun Yang, Jian Yu, Zhongya Zhang, Yang Zou, Rui Chen, Jianting Zhou, Baojun Li (2023). Flexural Behavior of 15-Year-Old Full-Scale Hollow Slab Beams Strengthened with Fiber-Reinforced Composites. , DOI: https://doi.org/10.2139/ssrn.4534484.

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Publication Details

Type

Preprint

Year

2023

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.2139/ssrn.4534484

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