Abstract：Due to the dynamic process of water flow and deformation in fractured rock masses as well as time-dependent characteristics of in-situ monitoring data，a dynamic inverse method for fully coupled problem of water flow and stress is presented，in which a hybrid genetic algorithm is used for optimization；and two different types of monitoring data about water head and displacement are taken into account. In order to avoid the dimension problem caused by different types of monitoring data，related values of water head and displacement at each time step are used in building objective function. In the coupling inverse analysis，both mechanical and seepage parameters are regarded as unknown variables，such as elastic modulus of rock block，shear stiffness and normal stiffness of each fracture set，and initial equivalent permeability coefficient of each fracture set. Finally，the presented inverse method is applied to a simple example of fractured rock bank slope in case that water level of reservoir rises quickly，while the forward calculated results at each time step are regarded as the assumed monitoring data. It is indicated that the accuracy of parameters¢ identification can be improved if using the continuously increasing monitoring data in time；and the inverse results of parameters are in good agreement with theoretical solution.
