چکیده مقاله
With widespread increasing applications of mechanized tunneling in almost all ground conditions, prediction of tunnel boring machine TBM performance is required for time planning, cost control and choice of excavationmethod in order to make tunneling economical Penetration rate is a principal measure of full face TBM performance and is used to evaluate the feasibility of the machine and predict advance rate of excavation In this study, a database of actual machine performance from two hard rock tunneling projects in Iran including Zagros lot 1B and 2 with 14 3km available data has been compiled To clarify the effective parameters on penetration rate, first principalcomponent analysis PCA was performed Furthermore, well known Artificial Intelligence AI based methods, including artificial neural networks ANN , adaptive neuro fuzzy inference system ANFIS and support vector regression SVR have been employed As statistical indices, root mean square error RMSE , correlation coefficient R2 , variance account for VAF , and mean absolute percentage error MAPE were used to evaluate the efficiency of the developed AI models for TBM performance According to the obtained results, it was observed that AI basedmethods can effectively be implemented for prediction of TBM performance Moreover, it was concluded that performance of the SVR model is better than the ANFIS and ANN models A high conformity was observed between predicted and measured TBM performance for the SVR model
کلیدواژهها
نویسندگان
Alireza Salimi
Institute of Geotechnical Engineering, University of Stuttgart, Stuttgart, Germany,
Christian Moormann
Institute of Geotechnical Engineering, University of Stuttgart, Stuttgart, Germany,
T.N Singh
Indian Institute of Technology Bombay, Mumbai 400076, India;
Prasnna Jain
National Institute of Rock Mechanics, Kolar Gold Fields 563117, Karnataka, India;
شیوه ارجاع
Salimi, Alireza and Moormann, Christian and Singh, T.N and Jain, Prasnna,1394,TBM Performance Prediction in Rock Tunneling Using Various Artificial Intelligence Algorithms,The Second Regional Conference and the Eleventh Iran Tunnel Conference,Tehran
ارائهشده در
مجموعه مقالات دومین کنفرانس منطقه ای و یازدهمین کنفرانس تونل ایران11 آبان 1394 · تهران