PSO-BP算法在岩质边坡开挖卸荷中的应用

The Application of PSO-BP Algorithm in Excavation Unloading of Rocky Slopes

利用PSO-BP算法建立函数非线性映射网络模型进行反分析,结合拉格朗日有限差分软件FLAC3D进行正分析,对岩质边坡开挖卸荷中的变形模量、泊松比、粘聚力、内摩擦角进行分级拟合和预测.结果表明,在岩质边坡开挖卸荷中应用PSO-BP算法有较高的拟合精度和预报精度.

Using PSO - BP algorithm overcome these deficiencies, PSO - BP algorithm and network model of nonlinear mapping function is established for the back analysis, combined with the Lagrange finite difference software FLAC3D for positive analysis, which carries out the classification of fitting and prediction for parameter values such as modulus, Poisson＇ s ratio, cohesive force and internal friction angle in the excavation unloading of rocky slopes. The results show that the application of PSO - BP algorithm in excavation and unloading of rock slope has higher fitting precision and prediction precision.