| With the rapid growth of China’s economy,the national highway network and high-speed railway network are spreading to the western mountainous areas.In view of the current situation that there are many mountains,high altitude,and continuous mountains in the western region of China,and the traffic engineering needs frequent construction of tunnels,TBM construction method is becoming more and more popular.However,the theoretical research on TBM tunneling in China is not thorough.TBM control drivers often use their own experience to carry out tunnel tunneling.In the condition that the tunneling parameters do not match the geological conditions,it is easy to have problems such as cutter head damage,bearing fracture,cutter blade collapse,etc.,which will lead to more serious disasters such as TBM jamming,water gushing and even machine damage and human death.Therefore,it is very necessary to study the mutual feed mechanism between TBM and rock mass and establish the rock machine interaction model.It can not only guide the correct operation of TBM drivers,make TBM safe and efficient tunneling,but also predict the possible hazards,avoid large-scale casualties and loss of time and property,and provide powerful help for the development of TBM intelligent in China.In this paper,aiming at the problem of building rock machine interaction model,firstly,data acquisition is carried out to determine the applicable sensors and acquisition methods under the actual engineering conditions.By establishing the real-time monitoring system of rock machine interaction information of TBM,the interaction information of TBM cutter-head and face(cutter-head vibration information)and the interaction information of TBM shield and surrounding rock(shield stress-strain information)are collected Information)for the follow-up study to establish a data base.Then,the influencing factors of rock machine interaction model are analyzed,and the influences of driving parameters,rock parameters and TBM design parameters on TBM driving and their internal relations are studied.The prediction parameters(cutter head vibration acceleration)and control parameters(cutter head speed and penetration)of the model are determined.Then,the influencing factors of rock machine interaction model are analyzed,and the influences of driving parameters,rock parameters and TBM design parameters on TBM driving and their internal relations are studied.The prediction parameters(cutter head vibration acceleration)and control parameters(cutter head speed and penetration)of the model are determined.Then this paper analyzes the field driving test,studies the change of parameters in the actual driving and the influence of driving parameters on the vibration of cutter-head;determines that the vibration amplitude parallel to the direction of TBM driving is thelargest,and the vibration amplitude in other directions is less than this direction;develops that the rotation speed of cutter-head can run stably with the set value,and the actual penetration when the rotation speed of cutter-head is small It will fluctuate up and down the set value and fluctuate greatly.With the increase of the speed of the cutter head,the fluctuation of the actual penetration becomes smaller and smaller,and gradually approaches to the set value.After the normalization of the speed of the cutter head,a good linear relationship between the penetration and the vibration acceleration of the cutter head is obtained at the lower speed.Based on the linear regression analysis of the vibration acceleration of cutter-head and the driving parameters,the rock machine interaction model with the vibration acceleration of cutter-head as the characteristic value is obtained.Finally,the model is tested,and its error is within the acceptable error range,which proves that the model has high reliability and accuracy. |