Crack Cause in the High Slope of Chinese Ancient Copper Mine Relics: A Three-Dimensional Non-Linear Finite Difference Analysis

Hu, Bin; Li, Jing; Sheng, Jianlong

doi:10.1109/access.2020.2965593

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…The model is able to perform highly accurate analysis on both open cast and open pit mines, due to efficient utilization of data interpolation. Similar models can be observed from [6,7,8], where Neural Networks, Gaussian processes, and 3D non-linear finite difference analysis are used. These models can be used for high performance applications like highway corridor slope analysis [9] for improving road stability.…”

Section: Literature Reviewmentioning

confidence: 80%

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: 80%

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

Das¹,

Pani²,

Samal³

et al. 2022

IJACSA

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“…At the same time, as the dominant factor of wind leakage, water intrusion, and sand intrusion disasters, it has become a precursor to the occurrence of complex mine disasters [1][2][3]. Mining operations cause the fracturing of the key bearing layer, which in turn weakens the control capacity of the overlying load layer and accelerates the complete development of mining fissures [4][5][6]. On the one hand, the formation of mining fissures is affected by mining parameters; on the other hand, it is controlled by the occurrence conditions of key strata [7,8].…”

Section: Introductionmentioning

confidence: 99%

Study on the Co-Evolution Mechanism of Key Strata and Mining Fissure in Shallow Coal Seam Mining

Zhang

Yang

et al. 2023

Applied Sciences

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Shallow coal seam mining makes the evolution form of mining fissures in rock and soil layers diversified, which leads to the easy penetration of mining fissures as the main channel of water, sand inrush, and air leakage. In order to reveal the co-evolution mechanism of broken rock beam structure and mining fissures in key strata, taking Hanjiawan Coal Mine as the research background, the relationship between mining fissures and rock beam structure, fissure activation period, propagation characteristics, and connectivity of working face was studied by means of field observation, physical similarity simulation, and theoretical derivation. The research shows that the fracture structure of key strata in shallow coal seam mining mainly includes hinged rock beam and step rock beam structures. Through the analysis of the rock beam structure, we found that the types of mining fissures in the overlying strata of key strata were up and down I-I and I-II mining fissures, and the heights of fissure development were 44.38 m and 98.35 m, respectively. The key block rotation made the mining fissures undergo five dynamic activation processes. The calculation formula of the fissure activation cycle was established, and the rock breaking angle, mining fracture lag distance, and fissure penetration discriminant were obtained and verified by field measurement results.

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“…Rock rheology is a process in which the rock mineral structure is constantly adjusted with time, resulting in the continuous change of stress and strain state with time [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Viscoelastic‐Plastic Creep Model of Rock Based on Fractional Calculus

Wei

et al. 2022

Advances in Civil Engineering

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A rock creep constitutive model is the core content of rock rheological mechanics theory and is of great significance for studying the long-term stability of engineering. Most of the creep models constructed in previous studies have complex types and many parameters. Based on fractional calculus theory, this paper explores the creep curve characteristics of the creep elements with the fractional order change, constructs a nonlinear viscoelastic-plastic creep model of rock based on fractional calculus, and deduces the creep constitutive equation. By using a user-defined function fitting tool of the Origin software and the Levenberg–Marquardt optimization algorithm, the creep test data are fitted and compared. The fitting curve is in good agreement with the experimental data, which shows the rationality and applicability of the proposed nonlinear viscoelastic-plastic creep model. Through sensitivity analysis of the fractional order β2 and viscoelastic coefficient ξ2, the influence of these creep parameters on rock creep is clarified. The research results show that the nonlinear viscoelastic-plastic creep model of rock based on fractional calculus constructed in this paper can well describe the creep characteristics of rock, and this model has certain theoretical significance and engineering application value for long-term engineering stability research.

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Crack Cause in the High Slope of Chinese Ancient Copper Mine Relics: A Three-Dimensional Non-Linear Finite Difference Analysis

Cited by 4 publications

References 10 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

Study on the Co-Evolution Mechanism of Key Strata and Mining Fissure in Shallow Coal Seam Mining

Nonlinear Viscoelastic‐Plastic Creep Model of Rock Based on Fractional Calculus

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