Study on prediction method for sliding distance of soil slope bedding creeping in open pit mine

Forecast of slide distance is an important indicator of landslide prediction. In view of the different geological environments in which slopes are located and the different modes of sliding failure law, it is difficult for the traditional mathematical prediction methods to reach the degree of universality. Based on the slope failure pattern space prediction theory research and engineering practice, aiming at bedding creeping slope, this paper was devoted to explore a reasonable and easy to operate slip distance prediction method. Taking the Wei jiamao Open-Pit Coal Mine stope slope as the research object, considering the engineering geological condition, the sliding body shape, physical parameters of the landslide, internal particles force and many other factors,the discrete element three-dimensional particle flow model of bedding slope was established to simulate and analyze the trajectory of sliding body. Then three classical mathematical models were selected to calculate the landslide slip distance of the same slope. The numerical simulation results and the calculation results of landslide slip distance prediction formula were compared with the field measured results. The results show that the error between landslide slip distance calculated by particle flow dispersion element numerical simulation method and field measurement is 10%, and the error calculated by mathematical model method is 33%～102%. The error of numerical simulation method is smaller than that of traditional mathematical model method. Because this method can more objectively analyze the evolution and development process of landslide, it can be well applied in bedding creeping open pit mine slope. Because the numerical simulation method takes into account many influencing factors,it has higher accuracy and applicability than the traditional calculation method, and has important practical significance, which can provide scientific basis for similar landslide prediction, risk aversion, treatment and so on.