Influence of Geotechnical Factors on Slope Stability in the Western Bielawy Limestone Open-Pit Mine (Poland)

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The stability of the slope is closely related to the safety of mining operations, rational excavation planning, and the optimal utilization of the deposit. The stability of an open-pit mine is controlled by both geotechnical and geological factors. Thus, this study aimed to investigate the influence of complex geological conditions like karst, tectonics, and lithology on the stability of the northern slope of the Western Bielawy limestone open-pit mine in central Poland. The site, located within the Barcin-Piechcin-Pakość limestone deposit, exhibits complex lithological variability, karst features, and tectonic disturbances. An integrated approach, combining laboratory testing, detailed rock mass characterization, and numerical modelling, was employed to assess slope stability. A 3D numerical model of the northern slope was used to evaluate stability under the planned excavation geometry. Numerical simulations, conducted with FLAC 3D software, employed the Modified Shear Strength Reduction Method. The results showed that the initially planned slope geometry yielded a safety factor below acceptable thresholds due to weak, fractured claystones and weathered limestones. By modifying bench widths and reducing the slope angle, the safety factor was improved to meet the minimum required value of 1.30. The study demonstrates the necessity of integrating geological, geotechnical, and numerical methods for reliable slope stability assessments. These findings provide valuable insights for optimizing excavation designs in carbonate formations affected by tectonic and weathering processes.

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The stability of open pit rock slopes is commonly assessed using deterministic methods. A single value for the Factor of Safety of the slope is calculated, and is assumed to represent the overall stability of the slope. A limitation of the deterministic approach is that it does not account for the natural variability of the input parameters or the uncertainty caused by sampling. The uncertainty and variability of input parameters such as frictional strength, cohesive strength, and discontinuity orientations are often accounted for by selecting values that incorporate conservatism based on limited laboratory testing or other data collection methods. The confidence in the Factor of Safety calculated using deterministic analyses remains a matter of engineering and experiential judgment. Reliability based methods, now adopted by many practitioners, overcome some of the limitations of deterministic methods by incorporating the natural variability of key input parameters into the calculation methods. If the natural variability is included, then a range of Factors of Safety can be calculated for the various combinations of the input variables. This range represents the probability density function of the continuous distribution of Factors of Safety, from minimum to maximum values. The cumulative distribution of values can then be used to quantitatively describe the likelihood of achieving a certain Factor of Safety. Understanding the distribution of Factors of Safety, and the reliability of the results, provides a method to make reliability based decisions. This paper presents a feasibility level study undertaken for Diavik Diamond Mines Inc. using point estimation methods in combination with limit equilibrium methods to evaluate the Factor of Safety of a proposed open pit slope. Point estimation involves the use of sample statistics to estimate population parameters. Confidence intervals are constructed that include the value of an unknown variable—in this case Factor of Safety—with high probability. The confidence intervals are developed based on the method of moments from probability theory, which is used to describe random variables of the sample population using the expected value of the random variable and the square of the expected value. A Monte Carlo random sampling method is used to develop a simulated population to approximate a normal distribution, which in this case represents the probability of slope performance defined in terms of the Factor of Safety. This paper describes the process followed to develop the probability density and cumulative distribution functions for the Factor of Safety. The statistical distribution of Factor of Safety is presented and is used to evaluate the pit slope stability in terms of probability of failure and acceptable risk tolerance.

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The rock mass consists of heterogeneous and anisotropic materials, with smaller and larger blocks of rock, and the presence of structural discontinuities is a significant concern. Characterising the rock mass is crucial for the success of engineering excavations in such areas. A detailed study of joints, their orientation, and discontinuities in the exposed rock mass is crucial as they greatly influence stability and fragmentation. Existing rock mass classifications like Rock Mass Rating (RMR) and Q-classification require various geological parameters and physico-mechanical properties of the rock. However, determining these parameters conventionally can be time-consuming, requiring careful on-site measurements. The number of opencast coal mines is increasing compared to underground mines due to shorter gestation periods, higher productivity, and quicker returns. However, opencast mining raises environmental concerns such as air and water pollution, solid waste management, land degradation, and socio-economic issues. Additionally, many opencast coal mines, regardless of size, are reaching greater depths, making analysing bench slopes and ultimate pit slope design crucial. Slope failure in these mines leads to production loss, additional costs for recovery and handling of failed material, pit dewatering, sometimes mine abandonment or premature closure, and loss of life. A study was conducted at Prakash Khani Opencast Mine – IV, Manuguru area, M/s The Singereni Company Collieries Limited (SCCL), to investigate the influence of structural discontinuities on slope stability. SIROVISION software was used to assess rock mass characterisation, while PLAXIS-2D software was employed to analyse the influence of structural discontinuities on slope stability. A comparative conclusion was drawn based on the results obtained from SIROVISION and PLAXIS-2D analyses. The study revealed that the RMR of the mine ranged from very poor to fair due to numerous discontinuities. It was also found that discontinuities in the slope decrease the Factor of Safety (FOS), indicating an impact on slope stability.

  • Research Article
  • Cite Count Icon 5
  • 10.1007/s10706-020-01320-7
Wedge Failure Analyses of the Jointed Rock Slope Influenced by Foliations
  • Apr 24, 2020
  • Geotechnical and Geological Engineering
  • Victor Mwango Bowa + 1 more

The stability of the slope is essentially controlled by the ratio between available shear strength and acting shear stress, expressed as the factor of safety, along the sliding surface. The slope is deemed stable if the computed factor of safety is larger than unitary and unstable if the computed factor of safety is less than unitary. Although the current analytical method for computing the factor of safety of the jointed rock slope subjected to wedge failure mechanisms allows predictions of the stability of the slope, it tends to oversimplify the key geological features that may influence the resulting factor of safety of the slope. The simplified analytical model was applied to determine the factor of safety of the physical jointed rock slope subjected to the wedge failure mechanisms. Furthermore, numerical model that incorporates key geological feature such as joints and foliations on the same physical case was built to simulate the stability of the jointed rock slope subjected to wedge failure mechanisms. The analytical model results indicate that the computed safety factor is above unitary, suggesting a stable slope while the numerical simulations result of the same physical slope predicted unstable slope. The obtained conservative factor of safety entails unrealistic predictions of the stability of the jointed rock slope subjected to wedge failure mechanisms. A numerical simulation model that incorporates key geological features could provide realistic predictions of the stability of the jointed rock slope subjected to wedge failure mechanisms.

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