Abstract：For real-time monitoring of rock fracture and seepage channel formation and capturing of precursory information in process of mine water inrush，3D electrical resistivity tomography(ERT) is applied to real-time monitoring work in mine water inrush model test. ERT monitoring system with automatic-acquisition function is used to implement real-time and dynamic monitoring work for resistivity variation. An optimization scheme for ERT inversion is proposed，in which Cholesky decomposition algorithm is used to solve large linear system in ERT forward modeling and preconditioning conjugate gradient(PCG) algorithm is used for inversion equation. Thus 3D ERT real-time inversion method is set up；to realized quick inversion of originally observed data and real-time output of dynamic images. In addition，a multi-parameter monitoring and analysis method is proposed，in which ERT is considered as a main means combined with analysis of originally apparent resistivity data and time-history curves for key points data. In the test process，dynamic images of crack generation，propagation and transfixion in aquifuge are obtained by ERT. The position and formation process of the major crack and seepage channel are also obtained，which are consistent with actual situation in the test. By comprehensive analysis of the results obtained with multi-parameter monitoring and analysis method，inducement of the fracture and inrush in aquifuge are gained. And the earliest time for capturing precursory information is obtained，which is 998 s ahead of inrush. The model test shows that the formation process of the crack and seepage channel is effectively reflected；and a series of precursory information is captured successfully by using ERT；and this system can give important reference to in-time early warming and prediction of inrush disaster.
刘斌，李术才，李树忱，李利平. 电阻率层析成像法监测系统在矿井突水模型试验中的应用[J]. 岩石力学与工程学报, 2010, 29(02): 297-307.
LIU Bin，LI Shucai，LI Shuchen，LI Liping. APPLICATION OF ELECTRICAL RESISTIVITY TOMOGRAPHY MONITORING SYSTEM TO MINE WATER INRUSH MODEL TEST. , 2010, 29(02): 297-307.
