Prediction Methods of TBM Tunneling Performance Under Different Working Conditions
The penetration rate(PR)of Tunnel Boring Machine(TBM)is often used to evaluate the tunneling per-formance and predict time cost.But most PR prediction models are based on a single specific project,resulting in poor universality of the models.In addition,the selection of cutterhead speed in the prediction of construction pe-riod in the survey and planning stage depends on manual experience and lacks theoretical guidance.Therefore,based on several TBM engineering data of different surrounding rocks and different diameters,this paper statistically analyzes the distribution law of cutterhead speed and the relationship between Field Penetration Index(FPI)and geological parameters and Penetration(P).The results show that FPI is significantly related to geological parameters and P.Geological parameters and tunneling parameters are the main factors affecting the PR.Based on this,the FPI prediction model,P prediction model and the calculation model of cutterhead speed are established,and then the prediction model of PR is obtained.The accuracy and reliability of this model have been verified and analyzed by the YinEr(YE)project in Xinjiang,and the average prediction error is 15.15%,which has a good effect and can provide theoretical support for project time cost prediction in the survey and planning stage.
Turnnel boring machineGeological parametersPenetration ratePrediction model
万方数据
维普
