Prediction of Advanced Rate of Shield Tunnel and Surface Settlement Based on ABC-BP Neural Network
In recent years,with the rapid development of artificial intelligence technology,its processing ability of big data makes it play an increasingly prominent role in solving the problems of urban shield tunnel engineering.This paper focuses on single stratum and composite stratum,summarizes the optimal range of each tunneling parameter through mathematical statistical analysis of shield tunneling parameters,adopts the method of constructing ABC-BP(artificial bee colony-back propagation)neural network to establish prediction model,and predicts tunneling velocity and surface settlement based on formation characteristics and tunnel attributes.The results show that the ABC-BP neural network can accurately predict the excavation velocity and surface settlement in single formation and composite formation.The research results of this paper are conducive to the rational and efficient regulation of shield construction,improve the safety of shield construction process,reduce the impact of the surrounding environment of the construction team.
composite stratumABC-BP neural networksurface settlement predictionoptimization of shield tunneling parameters
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