Discrete element modeling of a mining-induced rock slide

Дискретно-элементное моделирование оползня горных пород, вызванного горными работами
Jianjun Zhao, Jianguo Xiao, Min Lee Lee, Yuntao Ma
2016-09-21

PFC2DPFC3Ddiscrete element methodmining-induced rock sliderun-out behavior
Slopes are subjected to stress redistributions during underground mining activities, and this may eventually cause deformation or landslide. This paper takes Madaling landslide in Guizhou Province, China as a case study to investigate the failure mechanism and its run-out behaviours by using discrete element method. Previous qualitative analysis indicated that the slope experienced four stages of failure mechanisms: (1) development of tension cracks, (2) development of stepped-like creep cracks, (3) development of potential rupture surfaces, and (4) occurrence of the landslide. PFC2D program was employed to model the pre-failure deformation characteristics in order to verify the failure mechanisms quantitatively. Subsequently, the run-out behaviours of the landslide were analyzed by PFC3D program. The results indicated that the movement could be summarized into four stages: acceleration stage, constant movement stage, rapid movement stage, and deceleration and deposition stage.
1
PFC2D modeling quantitatively reproduced pre-failure deformation characteristics and supported the proposed four-stage failure mechanism.
2
PFC3D run-out analysis identified four movement stages: acceleration, constant movement, rapid movement, and deceleration with deposition.
3
Qualitative analysis identified four progressive failure mechanisms: tension-crack development, stepped-like creep cracks, potential rupture-surface formation, and landslide occurrence.
4
The Madaling landslide in Guizhou, China, was investigated as a mining-induced slope failure using the discrete element method.

Madaling landslide in Guizhou Province, China, induced by underground mining

The landslide’s failure mechanism, pre-failure deformation, and run-out behavior through its movement stages

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2016-09-21
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Jianjun Zhao
Jianguo Xiao
Min Lee Lee
Yuntao Ma
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