Stability Analysis of a Slope considering Two Reinforcement Processes

Chen, Wei; Li, Dongbai; Ting, Ma; Fu, Helin; Du, Yanpeng

doi:10.1155/2020/8828747

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…Hong et al conducted stability analysis on the artificial steep slope at the tunnel exit and evaluated the effectiveness of four reinforcement schemes [15]. Chen W et al used the strength reduction method embedded with different unit codes to analyze the stability of a coal mine slope that underwent two rounds of reinforcement, and verified the instability of the slope during the initial reinforcement stage [16]. Lopez-Vinielles et al proposed a method that combines digital photogrammetry, satellite radar interferometry, and geomechanical modeling for remote analysis of slope instability in open-pit mining areas [17].…”

Section: Related Workmentioning

confidence: 99%

Stability analysis of ultra-high and steep reinforced soil fills slopes based on strength reduction

Gao,

Zhao,

et al. 2024

Archives of Civil Engineering

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The research focuses on solving the important problem of slope stability in the field of civil engineering. The study adopted an advanced strength double reduction coefficient method for slope stability analysis, which considers the different influence weights of cohesion and internal friction angle, and reduces them with different reduction coefficients to describe the stability of the slope. The simulation experiment results indicate that the attenuation degree of cohesion and internal friction angle affects slope stability. When the reduction coefficient of cohesion increases to 1.737 and the reduction coefficient of internal friction angle increases to 1.201, the slope is prone to instability and failure, and the safety factor of the calculated result is 1.493. Moreover, when the anti-slip pile is set in the middle of the slope (1/2), and the slope is in a critical state, the bending moment and shear force suffered by the anti-slip pile are both maximum, so the reinforcement effect is also the best.

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Section: Related Workmentioning

confidence: 99%

Stability analysis of ultra-high and steep reinforced soil fills slopes based on strength reduction

Gao,

Zhao,

et al. 2024

Archives of Civil Engineering

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“…The HIgh REsolution Slope Stability Simulator (HIRESSS) was used to model the outcomes, and then it was compared to a conventional, non-IoT based technique. www.ijacsa.thesai.org Models for analysis of submerged pools [30], use of random field Gaussian methods [31], blocky structure systems [32], near-surface rock strength slope analysis [33], and reinforcement learning models [34][35][36][37] are also used for high efficiency slope analysis. It can be observed that most of these models do not define sensor placement analysis, due to which their efficiency is limited.…”

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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“…Fan et al used the large-scale shaking table test to study the dynamic response of slopes reinforced by double-row anti-slide piles and prestressed anchor cables, and discussed the influence of two anti-slide pile reinforcement measures on the dynamic response characteristics of slopes [15]. Chen et al, based on the strength reduction method, adopted piles, retaining walls, porous steel pipe grouting and other methods to consolidate an open-pit slope, and discussed the reinforcement effect of the slope and the feasibility of the reinforcement methods [16]. Wang et al used the finite element method to study the action mechanism of pile foundations in slopes, and studied the influence of the position and length of a pile foundation on the stability of an embankment [17].…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of a Local Precise Reinforcement Method for Dynamic Stability of Rock Slope under Earthquakes Using Continuum–Discontinuum Element Method

et al. 2023

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The slope reinforcement scheme has an important influence on the prevention and control of landslides. A reasonable reinforcement scheme can improve the reliability, economy and efficiency of landslide resistance. It is urgent to establish a local precise reinforcement method for landslides on the basis of clear process and the instability modes of landslides. Taking a high-steep anti-dip rock slope as an example, six numerical models are established by using the continuum–discontinuum element method (CDEM) to carry out seismic damage and dynamic analysis of slopes. By comparing the seismic response and damage characteristics of being unstrengthened, local precise reinforcement and overall reinforcement models, the applicability of the proposed local precise reinforcement method for the slopes is discussed. The results show that the determination of the dynamic amplifying effect and seismic damage characteristics of slopes is the primary prerequisite of the local precise reinforcement method. The dynamic amplification effect of the slope toe, crest and shallow slope surface are much larger, that is, they are the potential reinforcement areas. The local precision reinforcement times should be controlled within a certain number of times, and the slope after the first three times of the local reinforcement effect is the best. However, more than three times after the reinforcement effect it becomes worse. Moreover, the dynamic amplification effect, the equivalent crack ratio and the mechanical energy of the slope after three times of local precision reinforcement are similar to the overall reinforcement effect, which indicates that local precision reinforcement has good feasibility. This work can provide references for landslide disasters prevention and control.

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Stability Analysis of a Slope considering Two Reinforcement Processes

Cited by 5 publications

References 19 publications

Stability analysis of ultra-high and steep reinforced soil fills slopes based on strength reduction

Stability analysis of ultra-high and steep reinforced soil fills slopes based on strength reduction

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

Numerical Investigation of a Local Precise Reinforcement Method for Dynamic Stability of Rock Slope under Earthquakes Using Continuum–Discontinuum Element Method

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