Application of neural network model to prediction of settlement deformation of rockfill body of CFRD during construction period

Based on analysis of the influencing factors on the settlement of concrete face rockfill dams(CFRD) during the construction period,a BP neural network model for settlement prediction was developed.In the model,the main influencing factors on settlement were taken as the input parameters of the network,and the settlement at measurement points was taken as the output of the model.Case study on Shuibuya CFRD shows that the predicted result is much close to the measured data,and that the neural network can well reflect the nonlinear relationship between the settlement deformation of CFRD and its influencing factors.The predicted result can provide a basis for feedback design of concrete filling at the later stage,and the influence analysis of each factor on the settlement could be made by adjustment of input parameters of the network.