Research On Xuzhou Rail Transit Construction Site Monitoring And Settlement Intelligent Prediction Method

With the acceleration of modern urbanization,traffic jams and other problems have gradually emerged,so it is necessary to increase the construction of underground works.Subway construction,tunnel engineering and underground communication channels and other transportation facilities have appeared in large numbers.By formulating a reasonable plan to ensure the safe construction of underground works,it will not only help to speed up the construction progress,but also make the underground works run more smoothly.The settlement problem of underground engineering structures has always been the focus of attention in underground engineering.Taking Xuzhou East Station reserved tunnel project as an example,the project mainly includes the interval between Dahubei Station and Xuzhou East Station,Xuzhou East Station,and Xuzhou East Station and parking lot.By arranging monitoring points at the construction site and important structural parts of the project,statistically analyzing the monitoring data,and selecting the surface settlement deformation,pipeline settlement deformation,clearance convergence deformation and vault settlement deformation for analysis,it can be seen that each part of the monitoring data has certain rules,and With the accumulation of time,the settlement deformation tends to be stable,and the deformation rate gradually shows a uniform or stable growth.Aiming at the settlement and deformation of each part of the tunnel excavation in the reserved project of Xuzhou East Station,the main reasons for the deformation during the excavation process are analyzed.On the one hand,the settlement of the soil layer caused by the uneven soil mass produced by the construction,and secondly,with the accumulation of time and the end of the project,the settlement and deformation of each part gradually tend to be stable.The analysis of surface settlement deformation,pipeline settlement deformation,clearance convergence deformation and vault settlement deformation shows that they tend to be stable as time goes by.The improved BP neural network model and regression model based on genetic algorithm are used to monitor the surface settlement deformation.Carrying out simulation prediction and comparing the calculated value of the model with the actual monitoring value of the project,it can be seen that although some monitoring points have some errors,the overall error is small,which can describe the overall change trend of the actual monitoring value.By introducing the grey prediction model and the support vector machine model,the settlement and deformation of the vault of the reserved project of Xuzhou East Station are predicted.Based on the mathematical ideas of these two models,the superposition and accumulation of the original monitoring values can reduce the settlement and deformation of the vault.The results show that although there is a slight error between the predicted value of the model and the actual value,it generally conforms to the trend and change law of the vault settlement deformation.At the same time,it provides a new idea for predicting the deformation problem.The theory researched in this paper can provide theoretical guidance for the practical application of underground engineering.Figure [32] Table [7] Reference [67]...