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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Feb 2018

Research article | 20 Feb 2018

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This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Real-time monitoring and FEMLIP simulation of a rainfall-induced rockslide

Zhaohua Li1, Zhigang Tao1, Yuanjun Jiang2, Qian Lv1, Felix Darve3, and Manchao He1 Zhaohua Li et al.
  • 1State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Beijing, 100083, China
  • 2Institute of Mountain Hazards & Environment, Chinese Academy of Sciences, Chengdu, China
  • 3Grenoble CNRS, UMR 5521, 3SR, Grenoble Alpes University, Grenoble, France

Abstract. Rockslides are a common and devastating problem affecting mining and other engineering activities all over the world; consequently, there have been many studies into their prediction and prevention. This study focused on a recent rockslide in an open pit mine in Liaoning province, China. The stability of the rock slope under excavation and rainfall conditions was monitored using an efficient real-time monitoring system. A further numerical analysis was performed using the Finite Element Method with Lagrangian Integration Points (FEMLIP), and the normalized global second order work was implanted to assess the structure instability as a safety factor. In fact for the future it would be very interesting to compare in real time measurements and simulations, and not only to develop back computations after failure. The numerical results indicate that the rock slope remained stable during excavation, yet lost stability after subsequent rainfall. Water infiltration, along with a major geological discontinuity, degraded the strength of the weak zone and induced the rockslide. The monitoring approach presented its robustness and generality, and was worth being generalized. The numerical approach proposed the evolution of the safety factor, comparing the monitoring data, and the mechanism of the rockslide was determined. It could be used as an assistant tool for the disaster predictions.

Zhaohua Li et al.
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Zhaohua Li et al.
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