Every open-pit mine faces a major challenge: slope stability. A slope that fails to withstand its load can block haul roads, halt production, damage heavy equipment, and even endanger workers’ lives. That’s why slope stability analysis is not just a formality—it is the key to operational continuity.

Structural Data: The Foundation of Analysis

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Before any calculation begins, complete data is essential. This data includes:

  • Slope Geometry → height, angle, slope length.
  • Geology & Discontinuities → rock type, fractures, faults, weak layers.
  • Geotechnical Data → results of triaxial, direct shear, and UCS tests to determine cohesion (c) and internal friction angle (φ).
  • Hydrogeology → groundwater table position, pore pressure.
  • Mining Operations → blasting patterns, haul traffic, pit design changes.

📌 Example: A triaxial test in the laboratory might yield cohesion of 80 kPa and an internal friction angle of 28°. These numbers serve as the main input for calculating the factor of safety.

Factor of Safety (FoS)

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FoS is a quantitative indicator of slope stability:

  • FoS > 1.25 → Stable
  • 1.07 ≤ FoS ≤ 1.25 → Critical, requires monitoring
  • FoS < 1.07 → Unstable, high risk of slope failure

The calculation compares shear strength (resisting forces) with driving forces.

🔎 Simple analogy: Think of car brakes on a downhill road. If the brakes are stronger than gravity, the car stops. If the brakes are weak, the car slides—similar to slope failure.

Slope Stability Analysis Methods

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1. Limit Equilibrium Methods (LEM)
  • Bishop, Janbu, and Morgenstern-Price methods.
  • Divide the slope into slices and calculate force & moment equilibrium.
  • Widely used in coal and nickel mining due to speed and efficiency

2. Numerical Modeling

  • Finite Element Method (FEM): models stress and strain distribution.
  • Finite Difference Method (FDM): suitable for long-term dynamic analysis.
  • Discrete Element Method (DEM): analyzes block interactions in fractured rock masses.
     

3. Probabilistic Analysis

Instead of producing a single FoS value, it calculates the probability of failure based on variations in parameters (cohesion, φ, etc.).

Case Studies in Indonesia
  • Coal Mine in Kutai Kartanegara
    Initial FoS of the disposal area: 1.108–1.756 → below safe limits.
    Recommendation: slope angle 9° + bench height 7 m → FoS improved to 1.301 (safe)
  • Martabe Gold Mine
    Geotechnical monitoring recorded movements of 5 mm/day. Back-analysis revealed actual cohesion was much lower than laboratory values.
    Solution: redesigning slope geometry.
     

Modern Technologies

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  • Drone Photogrammetry & LiDAR: produce accurate 3D slope models.
  • Radar Interferometry (InSAR): detects slope movement at millimeter scale.
  • Slope Digital Twin: integrates geotechnical data, sensors, and real-time imagery for early prediction.

📌 Example: Research at Shizhuyuan Mine, China, combined FEM with real-time monitoring, enabling identification of at-risk slope zones before failure occurred.

Conclusion

Mine stability is the synergy of robust structural data, accurate analysis methods, and modern monitoring technologies. With this approach, companies can:
✔️ Ensure production continuity
✔️ Reduce material losses
✔️ Protect workers

References
  1. Mendeley Data – Slope Stability Dataset
  2. MDPI Applied Sciences – Slope Stability Analysis of Open-Pit Mine Considering Weathering Effects
  3. Frontiers in Earth Science – The Safety Factor of a Heterogeneous Slope in an Open-Pit Metal Mine

     
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