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Mechanical properties of cemented sand and gravel materials based on artificial neural network

Fang Tao  Wang Huilai  Li Fu  Li Zhaohui  Jin Guangri  
【摘要】: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 technical 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 prediction 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 application of CSG,and it will also be the foundation to apply the artificial neural network theory further in water conservancy project for the future.

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