Due to the frequent occurrence of slope instability caused by disasters in recent years, it is particularly important for monitoring the slope disasters and the dynamic evaluation of slope stability. The monitioring data is the most intuitive factor t...
Due to the frequent occurrence of slope instability caused by disasters in recent years, it is particularly important for monitoring the slope disasters and the dynamic evaluation of slope stability. The monitioring data is the most intuitive factor to reflect the stability of the slope. Therefore, it is more urgent to directly evaluate the stability of the slope through the monitoring data of the slope disaster. In this paper, based on BP neural network, the slope s tability dynamic evaluation system-DESlopeStability is developed by MATLAB. Then, the accuracy of the DESlopeStability is verified by the numerical simulation of ABAQUS, which is a three-dimensional finite element software. Finally, this system is applied to the Jietai Temple landslide project in Beijing. Through the above research, the BP neural network can find the nonlinear mapping between the monitoring data and the stability coefficient of the slope based on a large amount of data, and the DESlopeStability system meets the actual engineering requirements and it can be used as an auxiliary means to judge the stability of the slope.