Slope design based on geotechnical study and numerical modelling of a deep open pit mine in India

Singh, Virendra; Prasad, M.; Singh, Sandeep; Rao, Dhiresh Govind; Singh, Upendra

doi:10.1080/09208119508964729

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…Correlations of significance are with the rock mass deformation modulus [29] and with the rock mass strength parameters. On the basis of [30] and [31] the rock mass input parameters on rock mass classification data, and made use of a finite difference method to evaluate the stability of rock slopes in open pit mines. Numerical modeling is finding increasing application, particularly for defining potential failure modes.…”

Section: Numerical Modellingmentioning

confidence: 99%

Stability Analysis of Open Pit Slope by Finite Difference Method

Soren¹,

Budi²,

Sen³

2014

IJRET

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Section: Numerical Modellingmentioning

confidence: 99%

Stability Analysis of Open Pit Slope by Finite Difference Method

Soren¹,

Budi²,

Sen³

2014

IJRET

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“…The slopes of exploited open-pit mines of different mineral resources are often at risk of failure (e.g., [1][2][3][4][5][6]). To more accurately recognise this risk, various types of stability analyses are performed, using, in the broadest sense, deterministic and probabilistic methods (e.g., [4][5][6][7]).…”

Section: Introductionmentioning

confidence: 99%

The Setting of Strength Parameters in Stability Analysis of Open-Pit Slope Using the Random Set Method in the Bełchatów Lignite Mine, Central Poland

et al. 2021

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The slopes of open-pit mines are often at risk of failure. To identify this hazard, stability analyses are performed. An important element of these stability analyses is the reliable selection of input parameter values for the calculations. This selection is difficult because the slopes of the open pit are disturbed by mining activities. In such conditions, rheological processes, intensified by weathering, develop in open-pit slopes. This study is aimed at setting the strength parameters for the stability analysis of open-pit slopes with a developed slide process, using the random set method. The study was performed on the example of the open pit of the Bełchatów lignite mine, central Poland. A four-stage methodology, according to the random set method, was proposed. The methodology covered the following: site investigation, sensitivity analyses, shear strength reduction (SSR) analyses using numerical calculations, and probability analyses of the factor of safety (FoS) calculation results. The setting of the input parameters took into account the peak and residual strength parameters for each lithological unit in the physical model of the open-pit slope. Samples for laboratory tests were taken from the cores of nine test boreholes. The sensitivity analysis included all peak and residual strength parameters for each lithological unit in the body. As a result of the sensitivity analysis, specific strength parameters were adopted that would have a great impact upon the results of the calculations. Selected sets of parameter values were then used for the FoS calculations. The resultant FoS values revealed the probable slide planes. The positions of the slide planes were consistent with the interpreted slide surfaces based on the control boreholes and terrain observations. Knowledge of the slide planes positions and the values of the strength parameters enabled the designing of a securing approach for this landslide, and the taking of preventive measures to reduce this risk.

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“…The geomechanical parameters logged from boreholes are explicitly able to provide sufficient information for the quality of rocks and their dominated region. Because of the importance of these geomechanical variables, extensive research works have been carried out from the correct way of its determination to its spatial representation [1][2][3]. Recent applications of spatial rock quality designation (RQD) characterization in the geosciences include mine slope design [4], geomechanical properties of rock mass [5], geohazard zonation mapping [6], tunneling [7], probabilistic evaluation of RQD [8], geometallurgical studies [9].…”

Section: Introductionmentioning

confidence: 99%

“…This means uncertainty between two consecutive thresholds cannot be calculated in a reliable way. The aim of this study is fourfold: (1) presentation of the Multi-Gaussian methodology and updating the current algorithm, which would allow computing of the uncertainty between the consecutive thresholds; (2) employing the methodology to model the spatial distribution of RQD in a phosphate ore deposit located in Iran;…”

Section: Introductionmentioning

confidence: 99%

Spatial Mapping of the Rock Quality Designation Using Multi-Gaussian Kriging Method

2018

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The rock quality designation is an important input for the analysis and design of rock structures as reliable spatial modeling of the rock quality designation (RQD) can assist in designing and planning mines more efficiently. The aim of this paper is to model the spatial distribution of the RQD using the multi-Gaussian kriging approach as an alternative to the non-linear geostatistical technique which has shown some limitations. To this end, 470 RQD datasets were collected from 9 boreholes pertaining to the Gazestan ore deposit in Iran. The datasets were declustered then transformed into Gaussian distribution. To ensure the model spatial continuity, variogram analysis was first performed. The elevation 150 m with a grid of 5 m × 5 m × 5 m was selected to illustrate the methodology. Surface maps showing the RQD classes (very poor, poor, fair, good, and very good) with their associated probability were established. A cross-validation method was used to check the obtained model. The validation results indicated good prediction of the local variability. In addition, the associated uncertainty was quantified on the basis of the conditional distributions and the accuracy plot agreed with the overall results. It is concluded that the proposed model could be used to produce a reliable RQD map.

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Slope design based on geotechnical study and numerical modelling of a deep open pit mine in India

Cited by 7 publications

References 2 publications

Stability Analysis of Open Pit Slope by Finite Difference Method

Stability Analysis of Open Pit Slope by Finite Difference Method

The Setting of Strength Parameters in Stability Analysis of Open-Pit Slope Using the Random Set Method in the Bełchatów Lignite Mine, Central Poland

Spatial Mapping of the Rock Quality Designation Using Multi-Gaussian Kriging Method

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