基于GEP的露天矿边坡稳定性预测

Stability Prediction of Open-pit Slope Based on GEP

为能够准确地预测露天矿边坡稳定性,以国内30多个露天矿边坡破坏实例为研究依据,采用基因表达式编程(GEP)数值计算方法对边坡安全系数进行预测研究,并作为边坡稳定性的评价依据。建立了以岩石容重、内聚力、内摩擦角、边坡角、边坡高度和孔隙压力比6个因素作为输入因子,安全系数为输出因子的露天矿边坡稳定性GEP预测模型。结果表明:边坡安全系数GEP预测结果与实际值相对误差仅为11.63%;边坡稳定性状态预测准确率高达85.7%,预测效果理想。

To predict the open-pit slope stability accurately, taking the examples of more than 30 open-pit mines in China as the research object, GEP numerical computation method was used to study the slope safety factors and regarded as the evaluated foundation of slope stability. A GEP prediction model of slope stability for open-pit mine was established, which regards six factors of the rock density, cohesion, in- ternal friction angle, slope angle, slope height and pore pres- sure ratio as the input factors, and the safety factor as out- put factor. The results showed that the relative error be- tween the GEP prediction and the actual value was only 11.63%, and the prediction accuracy of the slope stability was as high as 85.7%, which was an ideal prediction effect.