ISSN 1000-3665 CN 11-2202/P

    基于三维地质建模和DFN系统的露天矿边坡稳定性评价

    Evaluation of slope stability in open pit based on 3D geological modeling and DFN system

    • 摘要: 本文针对传统数值模拟方法在处理离散岩体和节理方面的不足,基于无人机及三维地质建模技术,提出了一种基于离散元数值分析的露天矿边坡稳定性评价方法。首先利用无人机测地技术获取数字高程模型 (DEM)和数字正射影像(DOM)数据,然后运用三维地质建模技术构建矿区概化模型,并结合DFN系统,对结构面发育的坡体进行三维建模,最后采用FLAC3D和3DEC软件对边坡稳定性进行计算。研究结果表明:(1)真三维数值模拟中复杂地形的建模方法和基于随机裂隙生成系统(DFN)的节理化坡体的三维建模方法更符合实际工程;采用无人机及三维地质建模技术可有效评价大范围露天矿区的稳定性。(2)构建了内蒙古某露天矿区的概化模型,计算得到矿区开挖后竖向回弹量在5~7 cm,边坡水平位移不超过3 cm,矿区边坡稳定;考虑节理的离散元数值分析计算所得稳定性系数为1.504,比传统数值模拟获得的稳定系数2.758显著减小,计算结果更符合实际。

       

      Abstract: This study addressed the limitations of conventional numerical simulation techniques for discrete rock masses and joints by introducing a novel method for assessing slope stability in open-pit mines. The approach integrates discrete element numerical analysis with UAV and 3D geological modeling technologies. UAV geodetic technology was employed to obtain DEM and DOM datasets. These datasets facilitate the development of a generalized model of the mining area using advanced 3D geological modeling techniques. Using a Discrete Fracture Network (DFN) system, the three-dimensional modeling of slopes with fully characterized structural surfaces was constructed. The slope stability was then quantified using FLAC3D and 3DEC software applications. The results show that the modeling technique for intricate terrains in authentic 3D numerical simulations, along with the three-dimensional modeling approach for jointed slopes using the DFN system, correspond more closely with practical engineering scenarios. The integration of UAVs and 3D geological modeling technology provides an effective method for ascertaining the stability of extensive open-pit mining regions. A case study of an open-pit mine in Inner Mongolia demonstrates the effectiveness of the proposed method. Post-excavation analysis indicates a vertical rebound of 5–7 cm and a maximum horizontal slope displacement of less than 3 cm, confirming the mine slope's stability. The computed stability coefficient, incorporating joint presence through discrete element numerical analysis, stood at 1.504. This value is markedly less than the 2.758 stability coefficient derived from traditional numerical simulations, thereby aligning the computational outcomes more closely with observed realities.

       

    /

    返回文章
    返回