材料科学
复合材料
粘结强度
加速老化
极限抗拉强度
沉浸式(数学)
钢筋
扫描电子显微镜
纤维增强塑料
耐久性
差示扫描量热法
傅里叶变换红外光谱
使用寿命
胶粘剂
化学工程
纯数学
图层(电子)
工程类
物理
热力学
数学
作者
Arnaud Rolland,Karim Benzarti,Marc Quiertant,Sylvain Chataigner
出处
期刊:Materials
[MDPI AG]
日期:2021-09-30
卷期号:14 (19): 5700-5700
被引量:12
摘要
This study investigates the durability of glass fiber-reinforced polymer (GFRP) reinforcing bars (rebars) and their bond in concrete. Accelerated aging tests were first conducted on bare rebars that were either subjected to direct immersion in an alkaline solution or previously embedded in concrete before immersion in the solution (indirect immersion). Accelerated aging was conducted at different temperatures of the solution (20 °C, 40 °C and 60 °C) and for various periods up to 240 days. Residual tensile properties were determined for rebars subjected to direct immersion and served as input data of a predictive Arrhenius model. A large decrease in the residual tensile strength assigned to the alkali-attack of glass fibers was extrapolated in the long term, suggesting that direct immersion is very severe compared to actual service conditions. Short-beam tests were also performed on rebars conditioned under direct/indirect immersion conditions, but did not reveal any significant evolution of the interlaminar shear strength (ILSS). In a second part, bond tests were performed on pull-out specimens after immersion in the alkaline solution at different temperatures, in order to assess possible changes in the concrete/GFRP bond properties over aging. Results showed antagonistic effects, with an initial increase in bond strength assigned to a confinement effect of the rebar resulting from changes in the concrete properties over aging, followed by a decreasing trend possibly resulting from interfacial degradation. Complementary characterizations by scanning electron microscopy (SEM), differential scanning calorimetry (DSC) and Fourier transform infrared (FTIR) spectroscopy were also carried out to evaluate the effects of aging on the physical/microstructural properties of GFRPs.
科研通智能强力驱动
Strongly Powered by AbleSci AI