Research on the correlation and prediction of shield tunneling parameters in compound strata
There are numerous excavation parameters present in the process of shield tunneling,and the principles between excavation parameters are intertwined and complex.Scientific analysis of the principles and correlations between excavation parameters is significant for real-time control of shield tunneling.Based on the R2 left line project of Jinan metro,the excavation parameters of shield construction in compound strata were studied by machine learning methods.First,the relationship between geological parameters and shield tunneling parameters was analyzed,and correlation analysis was used to obtain the correlation between six tunneling parameters,in which the total thrust and cutter head torque of the shield were strongly correlated with other parameters.Then,the support vector machine algorithm was used to predict the total thrust and cutter head torque of the shield in different strata,and the predicted results were generally consistent with the actual monitoring results.Finally,the PSO algorithm was used to optimize the shield tunneling parameter prediction model.The results of the optimized model showed that the total R2 thrust increased approximately 3%,and cutter head torque increased approximately 10%,indicating that the optimization effect is significant.The current research results have certain reference significance for the selection of shield construction parameters in compound strata.
NETL
NSTL
万方数据
维普
