Stability analysis of slopes with planar failure using variational calculus and numerical methods

Belandria, Norly; Úcar, Roberto; León, Francisco; Hassani, Ferri

doi:10.1007/s11709-020-0657-9

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…Simpler methods like strength reduction [10], and variational calculus [11], can be used for analysing stability of slope analysis for open cast mines, National Highway (NH) development [12], and perched water conditions [13] with high efficiency. Slope stability can also be analyzed for specialized geographies like 3D geometries [14,15], and methods like Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) [16] can be used.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Das¹,

Pani²,

Samal³

et al. 2022

IJACSA

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Slope stability has been a matter of concern for most geologists, mainly due to the fact that unstable slopes cause a greater number of accidents, which in turn reduces efficiency of mining operations. In order to reduce the probability of these slope instabilities, methods like tension crack mapping, inclinometer measurements, time domain reflectometry, borehole extensometers, piezometer, radar systems and image processing systems are deployed. These systems work efficiently for single site slope failures, but as the number of mining sites increase, dependency of one site slope failure on nearby sites also increases. Current systems are not able to capture this data, due to which the probability of accidents at open cast mines increases. In order to reduce this probability, a high efficiency internet of things (IoT) based continuous slope monitoring and control system is designed. This system assists in improving the efficiency of real-time slope monitoring via usage of a sensor array consisting of radar, reflectometer, inclinometer, piezometer and borehole extensometer. All these measurements are given to a high efficiency machine learning classifier which uses data mining, and based on its output suitable actions are taken to reduce accidents during mining. This information is dissipated to nearby mining sites in order to inform them about any inconsistencies which might occur due to the slope changes on the current site. Results were simulated using HIgh REsolution Slope Stability Simulator (HIRESSS), and an efficiency improvement of 6% is achieved for slope analysis in open cast mines, while probability of accident reduction is increased by 35% when compared to traditional non-IoT based approach.

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Section: Literature Reviewmentioning

confidence: 99%

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Das¹,

Pani²,

Samal³

et al. 2022

IJACSA

View full text Add to dashboard Cite

show abstract

“…The factor of safety obtained from finite element method is in good matching with that obtained from limit equilibrium methods. The application of variation calculus to estimate slope stability is investigated by (11). The proposed program and subroutines can be applied to slopes with more complex geometries such as the effect of surcharge, pore water pressure and pseudo-static load.…”

Section: Introductionmentioning

confidence: 99%

Numerical Studies on Stability of Sand Slopes

Srilatha¹

2022

ECS Trans.

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Stability analysis of slopes is generally performed to assess the safe design of man-made or natural slopes. Choice of analysis depends on both site conditions and the probable mode of failure with consideration being given to the varying strengths and limitations involved in each method. Numerical techniques provide an approximate solution to field problems which otherwise cannot be solved by conventional methods due to complex geometry, anisotropic material, non-linear behavior, and in-situ stresses. Present study presents results of stability of unreinforced and reinforced model slopes using GEOSTUDIO 2020 and stability calculations were performed using SLOPE/W module and factor of safety of slopes with and without reinforcement is computed by considering various methods. Soil is modeled as a Mohr-Coulomb material in the analysis. The soil properties obtained from laboratory investigation was given as input parameters and analysis was carried out for different types of model slopes. The results from analysis are presented and discussed in detail.

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Variational method for determining slope instability based on the strength reduction method

Hua

Yao

Song

et al. 2022

Bull Eng Geol Environ

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Stability analysis of slopes with planar failure using variational calculus and numerical methods

Cited by 6 publications

References 14 publications

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Improving Slope Stability in Open Cast Mines via Machine Learning based IoT Framework

Numerical Studies on Stability of Sand Slopes

Variational method for determining slope instability based on the strength reduction method

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