Stability Analysis of Expansive Soil Slope Based on PSO-BP Neural Network
In relation to specific project case,Geo-Studio software was used to analyze permeability and stability of slope,and particle swarm optimization(PSO)based back propagation(BP)neural network algorithm was used to predict the minimum safety factor of slope under rainfall conditions,at the same time,the parameters influencing the slope stability were optimized.The results show that,the pore water pressure on the slope top presents a law of first increasing and then decreasing,and the pore water pressure at the slope bottom gradually increases in the course of rainfall,and remains unchanged after rainfall.Different unsaturated parameters have certain influence on the pore water pressure of soil mass and the stability of slope.PSO-based BP neural network algorithm may do well in simulation prediction and verification on minimum safety factor of slope under rainfall conditions.
万方数据
维普
