稀土矿边坡监测方案构建与滑坡灰色预测

Establishing slope monitoring program for rare earth ore and grey prediction of landslide

  • 摘要: 原地浸矿法开采稀土矿山有很多优点, 也有一个明显的缺点:注入的溶浸液容易导致山体滑坡.利用FLAC3D和强度折减理论对边坡稳定性进行数值模拟, 确定了采场边坡失稳区域, 作为重点监测区域.通过现场观测, 现场失稳的山体部分与模拟结果相吻合; 结合现场连续7 d监测数据, 利用灰色理论建立灰色预测模型, 预测结果精度等级为好, 可以应用于工程实际, 同时也为后续的滑坡预警提供支持.

     

    Abstract: Despite of its advantages, in-situ leaching mining method has an obvious disadvantage, that is, landslide caused by injected leaching solution. Numerical simulation is performed on the slope stability by using FLAC3D and strength subtraction. The stope slope instability region is regarded as key monitoring area. The field observation shows the instability of the mountain part is in conformity with the simulation results. Combing with field monitoring data in the 7 consecutive days, the grey prediction model is established based on grey theory, predicting precision grade being favorable. It can be applied to the engineering practice, which provides reference for the subsequent landslides warning.

     

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