某石灰石露天矿山边坡稳定性研究  

Study on Slope Stability of a Limestone Open-pit Mine

作　　者：贾明波 JIA Mingbo(China Railway Construction International Investment Co.,Ltd.)

机构地区：[1]中铁建国际投资有限公司,广东省广州市511466

出　　处：《现代矿业》2025年第3期205-209,共5页Modern Mining

摘　　要：为评估某石灰石露天矿山边坡稳定性,揭示潜在失稳机制,运用赤平投影法解析结构面组合特征,识别滑动模式,通过渗流数值模拟分析不同开采深度的孔隙水压力分布,采用极限平衡法计算天然、地震工况下的稳定性系数,并以岩体参数、渗流数据及开采条件为输入参数,建立BP神经网络模型,通过20组样本验证预测精度。研究结果表明,边坡在正常情况下处于稳定状态,但节理裂隙发育且迹线较长,对岩体完整性影响大,存在平面滑动或楔形滑动的可能性;坡体渗流状况随着开采深度向下延伸而变化,且BP神经网络的预测精度能够满足实际需求,预测效果较好。研究成果为类似矿山风险防控提供了多方法融合的技术路径。In order to evaluate the slope stability of a limestone open-pit mine and reveal the potential instability mechanism,the stereographic projection method is used to analyze the combination characteris-tics of structural planes and identify the sliding mode.The pore water pressure distribution at different min-ing depths is analyzed by seepage numerical simulation.The limit equilibrium method is used to calculate the stability coefficient under natural and earthquake conditions.The BP neural network model is estab-lished with rock mass parameters,seepage data and mining conditions as input parameters.The prediction accuracy is verified by 20 sets of sample.The results show that the slope is in a stable state under normal conditions,but the joint fissures are developed and the trace is long,which has a great influence on the in-tegrity of the rock mass,and there is a possibility of plane sliding or wedge sliding.The seepage condition of the slope changes with the downward extension of the mining depth,and the prediction accuracy of the BP neural network can meet the actual needs,and the prediction effect is good.The research results provide a technical path of multi-method fusion for similar mine risk prevention and control.

关 键 词：露天矿山 边坡稳定性 赤平投影 渗流场 BP 神经网络 

分 类 号：TD8[矿业工程—矿山开采]