# Deformation Analysis of Large-Scale Rock Slopes Considering the Effect of Microseismic Events
## 1 Introduction
[14] proposed a Boolean random generation method to quantify the error associated with simplifying the stratigraphic section of the geotechnical model, which is especially valuable for landslide stability evaluation. Monte Carlo type approaches have already been introduced to using the FLAC computer code. It is of great significance to accurately grasp the uncertain random distribution of rock parameters and to establish a reasonable model for the numerical simulation of slope stability evaluation. [PERSON] et al. [15; 16; 17] had an in-depth discussion on the problem of considering parameter uncertainty in modeling. Based on Monte Carlo technique, [PERSON] et al. [15; 16; 17] studied the uncertainty of rock's mechanical parameters, established a numerical model and simulated slope stability by combining the finite difference method. Although the current quantitative analysis of the surrounding rock mass in rock slopes has obtained some achievements, some problems, such as the prediction and quantitative evaluation of rock slope stability in complex geological conditions, have yet to be resolved thoroughly. For instance, the rock mass damage parameters chosen in the traditional analysis method rely on experiments, monitoring data and preliminary analysis; however, it is difficult to correctly establish the relationship among the experiment, the monitoring data and the parameters to be inverted. On the other hand, the data obtained using the conventional monitoring method indicates that there is a lag in the feedback analysis for the rock mass. Specifically, the rupture surface was formed inside the surrounding rock mass before applying the traditional monitoring method. Microseismic (MS) monitoring is a real-time dynamic monitoring method dedicated to micro-crack areas in surrounding rock mass. This method can be used to monitor the entire process from microcrack initiation, and aggregation to development. In recent years, MS monitoring technology has been widely applied for rock slope stability monitoring [18; 19]. In the present study, the left bank slope of the Baihetan hydropower station was taken as the engineering background. Secondary development was performed via FLAC3D software that relies on the MS monitoring data [20]. Fast lagrangian analysis of continua (FLAC) is a continuous medium mechanics analysis software program developed by Itasca, one of the company's most well-known software systems. FLAC3D is an extension of FLAC, including all the features of FLAC. FLAC3D can simulate the forces and deformations of engineering structures in three-dimensional rock masses and other media. The C computer programming language was utilized to compile the damage constitutive model, considering the fracture scale of rock [21]. The source radius of the MS data was applied as the input indicator. The information, including MS fracture data was imported to the three-dimensional numerical model. The numerical simulation results were compared with the field monitoring data with regard to the macroscopic deformation. The FLAC3D software was integrated with the MS monitoringdata. The stress-strain conditions of the rock in fracture and damage status were better simulated. The functions of the FLAC3D software were expanded, providing a new idea for the quantitative evaluation of rock mass damage during the excavation of rock slopes.