Prediction of Vertical Displacement of Bridge Excavation Based on Neural Network

doi:10.13438/j.cnki.jdzk.2022.02.009

Abstract

Abstract: Based on BP neural network method,the vertical deformation prediction of excavation under the bridge is studied.Firstly,the parameter sensitivity of different soil layers is studied and analyzed.It is concluded that the vertical displacement is only sensitive to the parameter change of the first layer of soil.And then,the control parameters of the neural network are determined as cohesion,internal friction angle,elastic modulus,Poisson's ratio,excavation depth,and excavation length of the first layer of soil.The B-R method is used for iterative calculation Verification of the established network show that the prediction accuracy of the model is high.

Key words: excavation under the bridge, deformation prediction, neural network, sensitivity

LI Jiawen, WANG Chongxu, WANG Hao. Prediction of Vertical Displacement of Bridge Excavation Based on Neural Network[J]. Journal of Jishou University(Natural Sciences Edition), 2022, 43(2): 53-59.

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