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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。
In order to accurately predict the slope stability of open pit mine, based on the research on the failure of more than 30 open pit slopes in China, the safety factor of slope was predicted by the method of gene expression programming (GEP) Evaluation of slope stability. The GEP prediction model for slope stability of open pit mine is established with six factors of rock mass density, cohesion, internal friction angle, slope angle, slope height and pore pressure ratio as input factors and safety factor as output factor. The results show that the relative error between predicted and actual values of slope safety factor GEP is only 11.63%, and the prediction accuracy of slope stability state is as high as 85.7%. The predicted result is satisfactory.