吉首大学学报（自然科学版）2022，Vol.43Issue(2)：53-59,7.DOI:10.13438/j.cnki.jdzk.2022.02.009
基于神经网络的桥下开挖竖向位移预测
Prediction of Vertical Displacement of Bridge Excavation Based on Neural Network
摘要
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.关键词
桥下开挖/变形预测/神经网络/敏感性Key words
excavation under the bridge/deformation prediction/neural network/sensitivity分类
交通工程引用本文复制引用
李家稳,王崇旭,王浩..基于神经网络的桥下开挖竖向位移预测[J].吉首大学学报（自然科学版）,2022,43(2):53-59,7.基金项目
National Natural Science Foundation of China(52178378) （52178378）
