Numerical assessment of failure potential of a large mine waste dump in Panzhihua City, China

Bao, Yiding; Han, Xudong; Chen, Jianping; Zhang, Wen; Zhan, Jiewei; Sun, Xiaohui; Chen, Menghe

doi:10.1016/j.enggeo.2019.03.002

Cited by 62 publications

(24 citation statements)

References 52 publications

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“…Integrating the calculation of FOS and the dynamic post-failure simulation into a model remains an issue. Although DEM can be used to theoretically calculate the FOS of slopes via the strength reduction technique [12,39], the micro-parameters corresponding to the macro-parameters c and ϕ are too difficult to be determined under different reduction situations. Therefore, future studies should focus on the relationship between micro-parameters and macro-parameters.…”

Section: Discussionmentioning

confidence: 99%

“…The calculation of the FOS first depends on the limit equilibrium method (LEM), which is based on statistics [6][7][8]. Then, the finite element method (FEM) is used to calculate the FOS to provide detailed stress and strain information [9][10][11][12][13][14][15]. However, both the LEM and FEM can only be used before failure, and cannot show the post-failure behavior of a sliding mass because LEM cannot calculate strain and displacement, and FEM has limitations when it comes to large-deformation analysis.…”

Section: Introductionmentioning

confidence: 99%

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Forecasting Landslides via Three-Dimensional Discrete Element Modeling: Helong Landslide Case Study

Peng

Song

et al. 2019

Applied Sciences

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Forecasting the occurrence potential of landslides is important but challenging. We aimed to forecast the failure potential of the Helong landslide, which is temporarily stable but has clearly deformed in recent years. To achieve the goal, we used reconnaissance, remote sensing, drilling, laboratory tests, topographical analysis, and electrical resistivity tomography (ERT). The factor of safety (FOS) of the slope was first calculated using a limit equilibrium method. The results show the FOS of the slope was 1.856 under natural conditions, 1.506 under the earthquake conditions, 1.318 under light rainfall, 0.986 under heavy rainfall, 1.075 under light rainfall and earthquake, and 0.832 under simultaneous heavy rainfall and earthquake. When the FOS is less than 1.35, the slope is considered metastable according to the Technical Code for Building Slope Engineering (GB50330-2013) published by the Chinese Ministry of Housing and Urban-Rural Development. Based on the drilling data and digital elevation data, a three-dimensional discrete element method (DEM) model was used to simulate potential landslides. The simulation was used to examine catastrophic slope failure under heavy rainfall conditions within a range of friction coefficients and the corresponding affected areas were determined. Then, we analyzed a typical run-out process. The dynamic information of the run-out behavior, including velocity, run-out distance, and depth, were obtained, which is useful for decision support and future landslide hazard assessment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Forecasting Landslides via Three-Dimensional Discrete Element Modeling: Helong Landslide Case Study

Peng

Song

et al. 2019

Applied Sciences

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“…e result shows that continuous increase of loess basement water content can directly cause destruction and instability of slope, whose deformation mode is the whole sliding trailing edge attachment to the interface between argillaceous loess and the natural loess [5]. To assess the stability of an iron mine waste dump slope and predict its hazard scale, Bao used a 3D slope model, and the results show that the safety factor, calculated by the DEM simulation, of the slope is 2.3 [6]. Guan used FLAC3D to analyze the landslide mechanism of the internal dump site in the soft loess substrate of the open-pit mine.…”

Section: Introductionmentioning

confidence: 99%

The Law of Instability and Failure of the Slope of Dumping Site: A Case Study in Inner Mongolia, China

Pan

Luo

Pan

et al. 2021

Shock and Vibration

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In order to study the law of instability and failure in the process of loading of the south dumping site of Hesgoola Coal Mine, the FLAC 3D numerical simulation experiment and the bottom friction simulation experiment were carried out for the deformation and failure of the slope of the south dumping site, the law of instability and failure in the process of loading of south dumping site is obtained, and the relevant safety precontrol measures and suggestions are put forward. This is of great significance to ensure the safety production of the south dumping site of Hesgoola Coal Mine.

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“…With the rapid development of artificial intelligence and machine learning, a large number of data mining methods and nonlinear intelligent integrated systems have been well applied in landslide displacement prediction. Compared with the traditional physical prediction model [8] based on formula or professional software [9], the landslide prediction model combined with machine method has a simple principle, controllable precision and strong adaptability [10]. The representative ones are Neural Network Model [11], Gray Model [12], Verhulst Mode [13], and Support Vector Machine Model (SVM) [14], etc.…”

Section: Introductionmentioning

confidence: 99%

Application of GWO-ELM Model to Prediction of Caojiatuo Landslide Displacement in the Three Gorge Reservoir Area

Zhang

Chen²,

Zhang

et al. 2020

Water

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In order to establish an effective early warning system for landslide disasters, accurate landslide displacement prediction is the core. In this paper, a typical step-wise-characterized landslide (Caojiatuo landslide) in the Three Gorges Reservoir (TGR) area is selected, and a displacement prediction model of Extreme Learning Machine with Gray Wolf Optimization (GWO-ELM model) is proposed. By analyzing the monitoring data of landslide displacement, the time series of landslide displacement is decomposed into trend displacement and periodic displacement by using the moving average method. First, the trend displacement is fitted by the cubic polynomial with a robust weighted least square method. Then, combining with the internal evolution rule and the external influencing factors, it is concluded that the main external trigger factors of the periodic displacement are the changes of precipitation and water level in the reservoir area. Gray relational degree (GRG) analysis method is used to screen out the main influencing factors of landslide periodic displacement. With these factors as input items, the GWO-ELM model is used to predict the periodic displacement of the landslide. The outcomes are compared with the nonoptimized ELM model. The results show that, combined with the advantages of the GWO algorithm, such as few adjusting parameters and strong global search ability, the GWO-ELM model can effectively learn the change characteristics of data and has a better and relatively stable prediction accuracy.

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Numerical assessment of failure potential of a large mine waste dump in Panzhihua City, China

Cited by 62 publications

References 52 publications

Forecasting Landslides via Three-Dimensional Discrete Element Modeling: Helong Landslide Case Study

Forecasting Landslides via Three-Dimensional Discrete Element Modeling: Helong Landslide Case Study

The Law of Instability and Failure of the Slope of Dumping Site: A Case Study in Inner Mongolia, China

Application of GWO-ELM Model to Prediction of Caojiatuo Landslide Displacement in the Three Gorge Reservoir Area

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