Microseismic Response Characteristics And Location Method Of Rock Mass Failure Under Seepage Environment And Its Engineering Application

In this paper,the microseismic information released by the rock mass progressive failure process is taken as the research object.Combined with indoor test,simulation test,theoretical analysis,program development and field test,the microseismic information response law and the precise location of the source location are investigated.A series of studies have been carried out and some research results have been achieved.The main conclusions are as follows:(1)In order to explore the acoustic emission characteristics of rock mass failure in rich water environment,the acoustic emission monitoring experiment of natural and saturated limestone compression failure was carried out,combined with fast Fourier transform,discrete wavelet transform and short-time Fourier transform to reveal The weakening effect of water on the time domain parameters of rock burst acoustic emission is found to be stable in the main frequency characteristics of the saturated rock sample failure process.(2)The simulation experiment of rock mass progressive failure inrush micro-seismic monitoring is carried out.The characteristic differences of rock rupture signal,excavation vibration and water pressure loading signal in waveform and frequency are compared and analyzed,and the typical microseismic of rock mass infiltration process is revealed.The main frequency evolution law of the signal and the characteristic microseismic information response mode,the overall trend of the"low level stable fluctuation-small increase-accelerated rise-rapid fall" of the microseismic activity during the progressive failure process of the rock mass is found.(3)Aiming at the shortcomings of traditional linear positioning algorithm,a micro-source localization algorithm based on artificial bee colony-cuckoo fusion theory is proposed.The homogeneous cuboid model and the heterogeneous cube model are introduced.The different algorithms are known at the wave velocity.The accuracy and discreteness analysis of the source inversion results under unknown conditions show that the wave velocity as a joint inversion of the unknown and the source coordinates is extremely feasible,and the fusion algorithm overcomes the high dependence of the linear algorithm on the velocity model.The defect has improved the common problem that the nonlinear algorithm is easy to fall into the local optimum to a certain extent,which greatly improves the focal location effect and the stability of the output solution.(4)The actual monitoring effect of ABC-CS optimization fusion algorithm is verified by the on-site monitoring experiment of surrounding rock activity in seepage environment.The feasibility and superiority of the algorithm are proved,and the microseismic activity under stress redistribution is characterized.In the region,the variation law of microseismic activity and the evolution characteristics of rock rupture signal are analyzed,which brings high practical application value to tunnel engineering safety monitoring.