Neural Network Prediction Method of RCC Durability
The relationship between RCC durability and influence factors is uncertain and nonlinear. Accordingly, present BP neural network and virtual samples are presented to predict RCC durability in this paper. At first neural network and matters which need attention are introduced; And frost resistance forecasting model and impermeability model are built up, which are three-tier BP neural network of 6-13-2, 4-9-1. The results show that the predicted values are ideal, and artificial neural network as one of the methods to forecast durability of concrete is appropriate.
RCC durability network forecasting model ANN (artificial neural network)
Shi Yan Fang Kunhe
Yangtze River Scientific Research Institute, Research Center of Water Engineering Safety and Disaste State Key Laboratory of Water Resource and Hydropower engineering science, Wuhan University, Wuhan 4
国际会议
第五届碾压混凝土坝国际研讨会(The Fifth International Symposium on Roller Compacted Concrete(RCC))
贵阳
英文
423-427
2007-11-02（万方平台首次上网日期，不代表论文的发表时间）