深凹露天矿山岩质高陡边坡稳定性预测.pdf

SeriesNo．38l 金 属 矿 山 总第381期 MINE March2008 METAL 2008年第3期 深凹露天矿山岩质高陡边坡稳定性预测串 姚颖康1 周传波1 郭廖武2尹小鹏2 (1．中国地质大学(武汉)；2．武铜矿业有限责任公司) 摘要结合大冶铁矿东露天高陡边坡，运用线性和非线性方法研究了岩质高陡边坡的稳定性预测模型。首 先采用岩质边坡稳定性分析复合指标对边坡岩体质量进行分级；在此基础上，分别运用多元线性回归和BP神经网 络方法研究边坡稳定性预测模型，并将其结果与极限平衡分析方法进行对比。结果表明，边坡稳定性与其影响因 素之间存在着复杂的非线性关系，应用BP神经网络方法预测露天矿山高陡岩质边坡稳定性是有效的、可行的。 关键词岩质边坡稳定性预测 多元线性回归BP神经网络 Forecastof in Mine Stability Open-Pit HiighSteepRockySlopeDeep Yao Zhou Guoliaowu2Yin Yingkan91Chuanb01 Xiaopen92 (1．China Geosciences；2．WuSteelCo．，Ltd．) Universityof Mining Abstract forecastmodelfor WasstudiedLinearandnonlinearmethodswiththe Stability highsteeproekyslope by easeofeast in Iron rockmasswasclassifiedthe indexof open-pithighsteepslopeDaye Mine．Firstly，slope by composite Oil modelfor Wasstudiedmultivariatelinear this，forecast regression rockyslopestabilityanalysis．Based slopestability by andBPneuralnetwork theresultswere withthosehmit method．The re- methods，and compared by equilibrium comparison suitsindicatethatthereis nonlinear betweenthe andits it is stability factors，and complex relationship slope influencing feasibleandeffectivetou$eBPneuralnetworktoforecastthe of in mines． high rockyslope stability steep open—