期刊
ENGINEERING WITH COMPUTERS
卷 36, 期 3, 页码 1083-1100出版社
SPRINGER
DOI: 10.1007/s00366-019-00751-y
关键词
Bond strength; ANFIS; Concrete; FRP; Joint
In this study, a new computational approach for determination of the bond strength of fibre reinforced polymer (FRP) strip-to-concrete joints is presented based on adaptive neuro-fuzzy inference system (ANFIS). For this purpose, 150 experimental data were gathered from the literature. The number of 120 data was used to train the system, and the other 30 were applied to the test. Six parameters including the compressive strength of the concrete, width of the concrete prism, FRP thickness, FRP modulus of elasticity, FRP bond length and FRP width were utilized to determine the bond strength. The results of the proposed ANFIS show high accuracy in the model. A comparison study with other published equations was also done, and it was concluded that ANFIS had less error and also had better results in comparison with other existing methods. Finally, a sensitivity analysis was done to investigate the relative importance of each input parameter on the target.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据