Research on Prediction of Settlement of Pipe Jacking Through Surface Based on BP Neural Network Algorithm
Pipe jacking undercrossing is a common construction method for underground engineering.However,ground deformation during the construction process of underground engineering has a significant impact on the safety and quality of the project.In order to effectively predict deformation of pipe jacking down through the formation,this paper proposes a prediction method based on the BP neural network algorithm.By collecting and organizing a large amount of monitoring data during the undercrossing process of pipe jacking,and combining the training and prediction capabilities of the BP neural network algorithm,a ground deformation prediction model is established.Through practical case verification,the results show that this method can efficiently and accurately predict deformation of pipe jacking through the formation,providing a reliable reference for underground engineering construction.
NETL
NSTL
万方数据
维普
