摘要
某高海拔高寒地区露天矿最终边坡角采用BP神经网络预测模型所得结果为45°。为验证该预测值的合理性和露天矿设计边坡的稳定性,采用边坡冻融损伤岩体力学参数修正方法和有限元CAD-MIDAS耦合建模技术,详细分析了具有45°边坡角的露天矿冻融边坡的应力、位移分布规律。研究表明:边坡体内部应力和位移量较小,安全系数均大于1.1,满足设计要求,表明设计的45°边坡角较合理,利用BP神经网络预测边坡角的思路具有一定的科学性。
The final slope angle of an open-pit mine in a high altitude and alpine area is estimated by 45° based on BP neural network prediction model. In order to verify the rationality of the prediction value and stablity of the designed slope, through modification method of mechanical parameters of rock mass based on freezing and thawing damage characteristics and finite element CAD-MIDAS coupled mod- eling technique, the distribution regularities of stress and displacement of freezing and thawing slope of the open-pit mine with the angle of 45° is analyzed. The study results show that stress and displacement of the inner of slope are both small and the safety coefficient is greater than 1.1, which show that the designed final slope with the angle of 45 ° is reasoanble, besides that, the ideal of using BP neural network slope angle is scientific.
作者
段进超
李华华
Duan Jinchao;Li Huahua(Changsha Nonferrous Metallugical Design Research Institute Co.,Ltd)
出处
《现代矿业》
CAS
2018年第7期183-186,共4页
Modern Mining
基金
国家重点研发计划项目(编号:2016YFC0801600)
关键词
露天矿
最终边坡角
边坡稳定性
数值模拟
安全系数
Open-pit mine
Final slope angle
Slope stability
Neural simulation
Safety coeffcient
