Assessing Slope Stability Based on Measured Data Coupled with PSO

Real-time accessing slope stability has always been one of the research hotspots in landslide prevention and control. Coupled with Particle Swarm Optimization (PSO), a systematic method based on measured data assessing slope stability is developed in this paper. Through the numerical simulation of two case studies, the results show that: (1) using the monitoring dataset, PSO can be applied to effectively deduce the mechanical properties of the slope; (2) employing the ascertained mechanical parameters, the safety factor of the slope can be swiftly computed through numerical simulation. Therefore, with the help of measured data of the slope, the developed assessing method of slope stability based on PSO can fully consider the evolution of mechanical parameters of the slope, and implement corresponding preventive measures for slope deformation or even instability. To this end, a more reasonable and efficient tool for practical slope engineering is also provided.