Al-Zahrani Mesfer M
Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.
Interdisciplinary Research Center for Construction and Building Materials (IRC-CBM), King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.
Polymers (Basel). 2024 Nov 29;16(23):3358. doi: 10.3390/polym16233358.
In this study, the short-beam shear strength (SBSS) retention of two types of glass fiber-reinforced polymer (GFRP) bars-sand-coated (SG) and ribbed (RG)-was subjected to alkaline, acidic, and water conditions for up to 12 months under both high-temperature and ambient laboratory conditions. Comparative assessments were also performed on older-generation sand-coated (SG-O) and ribbed (RG-O1 and RG-O2) GFRP bars exposed to identical conditions. The results demonstrate that the new-generation GFRP bars, SG and RG, exhibited significantly better durability in harsh environments and exhibited SBSS retentions varying from 61 to 100% in SG and 90-98% in RG under the harshest conditions compared to 56-69% in SG-O, 71-80% in RG-O1, and 74-88% in RG-O2. Additionally, predictive models using both artificial neural networks (ANNs) and linear regression were developed to estimate the strength retention. The ANN model, with an of 0.95, outperformed the linear regression model ( = 0.76), highlighting its greater accuracy and suitability for predicting the SBSS of GFRP bars.
在本研究中，两种类型的玻璃纤维增强聚合物（GFRP）筋——砂涂层（SG）和带肋（RG）——的短梁抗剪强度（SBSS）保持率，在高温和实验室环境条件下，于碱性、酸性和水条件下长达12个月进行了测试。对暴露于相同条件下的老一代砂涂层（SG-O）和带肋（RG-O1和RG-O2）GFRP筋也进行了对比评估。结果表明，新一代GFRP筋SG和RG在恶劣环境中表现出显著更好的耐久性，在最恶劣条件下，SG的SBSS保持率为61%至100%，RG为90%至98%，相比之下，SG-O为56%至69%，RG-O1为71%至80%，RG-O2为74%至88%。此外，还开发了使用人工神经网络（ANN）和线性回归的预测模型来估计强度保持率。ANN模型的 为0.95，优于线性回归模型（ = 0.76），突出了其在预测GFRP筋SBSS方面更高的准确性和适用性。
