Research On Geological Adaptability Control And Optimization In Tunneling Process Of Tunnel Boring Machine

Because of its advantages of fast tunneling speed,small impacts on surrounding rock mass and high degree of mechanization,the Tunnel Boring Machine(TBM)is now widely used in Tunnel engineering around the world.With the continuous improvement of manufacturing technology,the structure and performance of TBM are more and more adapted to the complex and changeable geological environment.However,when operating TBM for construction,it still relies on the experience of operators to adjust for different geological conditions in many cases.In order to realize the geological adaptability control of TBM,the following contents are studied in this paper:(1)Online identification model of geological conditions.By studying the corresponding relationship between TBM's working parameters and geological conditions,the working parameters that can reflect the surrounding geological conditions are found.By using the improved KNN algorithm based on engineering,an online identification model of geological conditions is established,which can effectively identify the current geological conditions based on the input working parameters.It lays a foundation for the follow-up research.(2)Abnormal condition warning model: We analyze the abnormal data in the construction data by means of mathematical statistics,and establish the abnormal condition warning model according to the characteristics of the abnormal data.In this way,it can give early warning when abnormal working conditions occur.Compared with the actual construction data,the model can shorten by 30% the events with continuous abnormal working conditions and output corresponding early warning signals according to the types of abnormal working conditions.(3)Cutter disc control system: We established the partition coupling control model based on compensation in advance,through the analysis of the transmission principle of drive motor and the knife dish,in order to promote a set of drive motor synchronization performance,and established the partition coupling control strategy,in order to solve the problem of uneven excavating surface load,puts forward the partition coupling control strategy based on compensation in advance,through the Matlab/Simulink simulation test,verify the validity of the model.(4)Multi-objective optimization model of tunneling parameters based on geological conditions: We set up considering the efficiency,energy consumption,the amount of wear and tear,vibration quantity,excavation face stability(the level of support),and the multi-objective model of risk,the then based on the characteristics of various geological conditions,the corresponding adjustment of the weight of six optimization function,according to weight the multi-objective optimization model for single objective optimization model and genetic algorithm model,through the Matlab/Simulink is optimized for part of the construction data.