用神经网络分析露天矿边坡稳定性  

Application of Neural Network in Analyzing Open-pit Slope Stability

作　　者：刘丽峰[1] 朱明[1] 岳鑫[2] 朱开宇[1] 彭及环[2] 

机构地区：[1]河北理工大学,河北省唐山市063009 [2]唐山钢铁集团棒磨山铁矿

出　　处：《金属矿山》2008年第9期38-39,56,共3页Metal Mine

摘　　要：影响露天矿边坡稳定性的因素十分复杂,有些因素对边坡的影响程度很难确定,用神经网络分析露天矿边坡的稳定性逐渐受到重视。考虑了岩体的结构面倾角、中间结构面长度、粘聚力、摩擦角、重度和水压力比对露天矿边坡稳定性的影响,并通过49个算例的分析比较,说明BP神经网络方法用于露天矿边坡稳定性分析的可行性。The factors influencing the stability of open-pit slope are very complex and the precise effects of some factors on the slope are very hard to determine. The application of neural network in analyzing the open-pit slope stability has gradually aroused the attention. The paper studies the rockmass＇influence of the dip of structural plane, the length of intermediate structural plane, cohesive force ,frictional angle, gravimetric density and water pressure on the open-pit slope stability and illustrates, through the analysis and comparison of 49 instances, the feasibility of applying BP neural network in the analysis of open-pit slope stability.

关 键 词：BP神经网络 露天矿 边坡稳定性 误差分析 

分 类 号：TU452[建筑科学—岩土工程] P642.22[建筑科学—土工工程]