基于强度折减法和神经网络的边坡失稳预测方法

摘要

Combining with the Shiliushubao landslide monitoring data,this paper made single factor prediction to slope physical and mechanical parameters predicted by BP neural network,combining the strength reduction method with predicted physical and mechanical parameters,using FLAC3D made numerical simulation,solved future safety factor of this slope,through analysis on the change situation of stress nephogram and safety factor,gained the purpose of prediction.%结合石榴树包滑坡监测数据，使用BP神经网络对监测到的边坡物理力学参数进行了单因素预测，将预测到的物理力学参数结合强度折减法，运用FLAC3D进行数值模拟，求解该边坡未来的安全系数，通过分析边坡应力云图和安全系数的变化情况，达到了预测预报的目的。