Abstract：Based on the comprehensive analysis of the creep experimental data of left bank slope shale samples at Longtan Hydropower Station and the weathered degree of rock masses，rock characteristics and joint distribution in local area，a creep model of shale rock masses of the left bank is set up. The uniform design method and FLAC3D are used to simulate the excavation and creeping process on the simplified geological model of the No.72 test-tunnel，which is located in the central portion of the left bank high slope. With the deformation monitoring data of the No.72 test-tunnel as the aim，the intelligent inversion is made for the creeping parameters by way of combined neural network and genetic algorithm. With these parameters，numerical simulation is conducted. Results indicate that the monitoring displacements not used in inversion are similar to the calculated displacements. This reveals the reasonability of the rheology model and parameters of left bank high slope shale rock masses of Longtan Hydropower Station as well as the important bridging function of intelligent displacement back analysis in the process of the transition from creeping experimental parameters of small-scale rock masses to those of the local large-scale rock masses.
