↓ Skip to main content

Discrete element modeling of a mining-induced rock slide

Overview of attention for article published in SpringerPlus, September 2016
Altmetric Badge

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Discrete element modeling of a mining-induced rock slide
Published in
SpringerPlus, September 2016
DOI 10.1186/s40064-016-3305-z
Pubmed ID
Authors

JianJun Zhao, JianGuo Xiao, Min Lee Lee, YunTao Ma

Abstract

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Master 5 19%
Researcher 2 8%
Student > Bachelor 1 4%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 8 31%
Readers by discipline Count As %
Engineering 9 35%
Earth and Planetary Sciences 3 12%
Philosophy 1 4%
Psychology 1 4%
Chemical Engineering 1 4%
Other 2 8%
Unknown 9 35%