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Supervisor：Jiangxi University Of Science And Technology
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Jiangxi Nonferrous Metals Society
ISSN：1674-9669
CN：36-1311/TF
CODEN YJKYA9
Volume 6 Issue 3
Jun.  2015
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WANG Dan, YUAN Boyun, RAO Yunzhang, RAO Rui, ZHANG Yongsheng. Establishing slope monitoring program for rare earth ore and grey prediction of landslide[J]. Nonferrous Metals Science and Engineering, 2015, 6(3): 116-120. DOI: 10.13264/j.cnki.ysjskx.2015.03.022
Citation: WANG Dan, YUAN Boyun, RAO Yunzhang, RAO Rui, ZHANG Yongsheng. Establishing slope monitoring program for rare earth ore and grey prediction of landslide[J]. Nonferrous Metals Science and Engineering, 2015, 6(3): 116-120. DOI: 10.13264/j.cnki.ysjskx.2015.03.022
shu

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

  • 1.

    School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

  • 2.

    Ganzhou Research Institute of Nonferrous Metallurgy, Ganzhou 341000, China

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  • Received Date: October 31, 2014
  • Published Date: June 29, 2015
    Graphical Abstract
    • 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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    • References (15)
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