Mechanical properties of cemented sand and gravel materials based on artificial neural network
The number of researches on the mechanical properties of cemented sand and gravel(CSG)materials and the application of the CSG Dam has been increased.In order to explain the techncial scheme of strength prediction model about the artificial neural network,the study obtained the sample data by orthogonal test using the PVA fiber,different amount of cementing materials and age,and established the efficient evaluation and predic-tion system Combined with the analysis about the importance of influence factors,the prediction accuracy was above 95%.This provides the scientific theory for the further ap-plication of CSG and it will also be the foundation to apply the artificial neural network theory further in water conservancy project for the future.
CSG(Cemented Sand and Gravel) artiticial neural network influence factors strength prediction model
Fang Tao Wang Huilai Li Fu Li Zhaohui Jin Guangri
3rd Construction Co.,Ltd.of China Construction 5th Engineering Bureau,Changsha,Hunan 410007,China Department of Civil Engineering,Yanbian University,Yanji,Jilin 136200,China
国内会议
长沙
英文
29-41
2021-09-27(万方平台首次上网日期,不代表论文的发表时间)