Slope Stability Analysis of Open Pit Mine Based on Finite Difference Method

2009 ◽  
Author(s):  
Ming Zhu ◽  
Cuilin Ma ◽  
Rui Tang ◽  
Rong Zhang ◽  
Tingzhong Li ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Finite Difference ◽  
Finite Difference Method ◽  
Slope Stability ◽  
Difference Method ◽  
Slope Stability Analysis ◽  
Open Pit Mine ◽  
Open Pit

Application of GM (1, N) Model on Slope Stability Analysis in Open Pit Mine

2011 ◽  
Vol 84-85 ◽  
pp. 729-732 ◽  
Author(s):  
Jun Guo ◽  
De Qing Gan ◽  
Yu Zhang ◽  
Wei Hang Zhang
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Slope Stability Analysis ◽  
Open Pit Mine ◽  
Open Pit ◽  
Model Based ◽  
Strip Mine ◽  
The Stability ◽  
Major Factors

The paper analyzed major factors that influence the stability of open-pit slope and established the GM (1, N) model based on the program of Xingshan strip mine, which provided an effective method for evaluating the slope stability.

scholarly journals Soil Probabilistic Slope Stability Analysis Using Stochastic Finite Difference Method

2017 ◽  
Vol 11 (4) ◽  
pp. 23 ◽  
Author(s):  
Mohamadbagher Effati Daryani ◽  
Hadi Bahadori ◽  
Khalil Effati Daryani
Keyword(s):  
Shear Strength ◽  
Stability Analysis ◽  
Finite Difference ◽  
Finite Difference Method ◽  
Slope Stability ◽  
Difference Method ◽  
Slope Failure ◽  
Design Method ◽  
Limit State ◽  
Partial Factor

The paper contrasts results obtained by the partially factored limit state design method and a more advanced Random Finite Difference Method (RFDM) in a benchmark problem of slope stability analysis with variable undrained shear strength. Local Average Subdivision method was used to simulate the non-Gaussian random variables. The key difference between the methods is that RFDM takes into account spatial variability of soil parameters allowing slope failure to occur naturally along the path of least resistance. The probabilistic method leads to predictions of the "probability of slope failure" as opposed to the more traditional "factor of safety" measure of slope safety in the limit state design method; however, they give significant different results depending on the level of the variability. Analyses conducted using Monte Carlo Simulation show that the same partial factor can have very different levels of risk depending on the degree of uncertainty of the mean value of the soil shear strength. Calibration studies show the partial factor necessary to achieve target probability values.

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