<p>This study presents an integrated workflow for evaluating slope stability in a stratified Limestone Mine. The Dillai Parbat Limestone Mine, Bokajan, Assam, India, was selected as a representative case study to demonstrate the proposed methodology. The workflow combines field geological characterization, laboratory testing, empirical rock mass classification (RMR, SMR, Q-slope, and Mine Slope Instability Index (MSII)), kinematic analysis, and numerical analyses to assess slope stability in heterogeneous rock mass. The rock mass comprises interbedded limestone and sandstone with two dominant joint sets and randomly distributed fractures. Laboratory testing indicated moderate to high strength and durability for limestone, whereas sandstone exhibited comparatively lower strength and greater susceptibility to weathering. Rock mass classification suggested fair to poor rock mass quality (RMR Class III–IV), while kinematic analysis identified a low likelihood of planar and wedge failures, with few localized bench-scale flexural toppling. Q-slope values ranged from 0.28 to 2.10 for the F&amp;G Block and 0.075 to 1.26 for the N Block, indicating relatively poor slope condition in the N Block and supporting a more conservative slope design. MSII further identified the N Block as Hazard Level 1, indicating a greater likelihood of localized instability. Finite element method (FEM) and Limit equilibrium method (LEM) produced comparable factors of safety, providing cross-verification of the stability assessment. The F&amp;G Block remained stable (FoS of 1.76 by FEM and 1.638–1.787 by LEM), whereas the N Block exhibited marginal stability (FoS of 1.26 by FEM and 1.203–1.249 by LEM), highlighting the need for optimized slope-bench geometry. The key contribution of this study is the demonstration of an integrated, multi-method workflow that utilizes routinely collected engineering geological data to characterize heterogeneous stratified rock masses without requiring extensive additional investigations. Although demonstrated through a representative case study, the proposed framework is applicable to similar stratified open-pit mines and provides a practical basis for hazard-level differentiation, slope design optimization, and identification of localized instability-prone zones.</p>

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Slope Stability Assessment in a Stratified Open-Pit Limestone Mine: An Integrated Engineering Geological and Numerical Approach

  • Ratan Das,
  • Sourav Das,
  • Debasish Mazumder,
  • Ranuj Kumar Das,
  • T. N. Singh

摘要

This study presents an integrated workflow for evaluating slope stability in a stratified Limestone Mine. The Dillai Parbat Limestone Mine, Bokajan, Assam, India, was selected as a representative case study to demonstrate the proposed methodology. The workflow combines field geological characterization, laboratory testing, empirical rock mass classification (RMR, SMR, Q-slope, and Mine Slope Instability Index (MSII)), kinematic analysis, and numerical analyses to assess slope stability in heterogeneous rock mass. The rock mass comprises interbedded limestone and sandstone with two dominant joint sets and randomly distributed fractures. Laboratory testing indicated moderate to high strength and durability for limestone, whereas sandstone exhibited comparatively lower strength and greater susceptibility to weathering. Rock mass classification suggested fair to poor rock mass quality (RMR Class III–IV), while kinematic analysis identified a low likelihood of planar and wedge failures, with few localized bench-scale flexural toppling. Q-slope values ranged from 0.28 to 2.10 for the F&G Block and 0.075 to 1.26 for the N Block, indicating relatively poor slope condition in the N Block and supporting a more conservative slope design. MSII further identified the N Block as Hazard Level 1, indicating a greater likelihood of localized instability. Finite element method (FEM) and Limit equilibrium method (LEM) produced comparable factors of safety, providing cross-verification of the stability assessment. The F&G Block remained stable (FoS of 1.76 by FEM and 1.638–1.787 by LEM), whereas the N Block exhibited marginal stability (FoS of 1.26 by FEM and 1.203–1.249 by LEM), highlighting the need for optimized slope-bench geometry. The key contribution of this study is the demonstration of an integrated, multi-method workflow that utilizes routinely collected engineering geological data to characterize heterogeneous stratified rock masses without requiring extensive additional investigations. Although demonstrated through a representative case study, the proposed framework is applicable to similar stratified open-pit mines and provides a practical basis for hazard-level differentiation, slope design optimization, and identification of localized instability-prone zones.