Experimental and numerical study of coal-rock bimaterial composite bodies under triaxial compression

Chen, Yulong; Zuo, Jianping; Liu, Dejun; Li, Yingjie; Wang, Zhenbo

doi:10.21203/rs.3.rs-108417/v1

Cited by 7 publications

(5 citation statements)

References 40 publications

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“…The mechanical parameters of the coal and rock mass were very important to the accuracy of the numerical simulation results 22,23 . Mohammad et al 24 suggested that the average stiffness of a numerical model should be 0.469 of the laboratory stiffness, and the average uniaxial compressive strength of the model should be 0.284 of the laboratory strength.…”

Section: Establishment Of Numerical Modelmentioning

confidence: 99%

“…The mechanical parameters of the coal and rock mass were very important to the accuracy of the numerical simulation results. 22,23 Mohammad et al 24 suggested that the average stiffness of a numerical model should be 0.469 of the laboratory stiffness, and the average uniaxial compressive strength of the model should be 0.284 of the laboratory strength. Cai et al 25 suggested that the elastic modulus, cohesion, and tensile strength of the coal and rock mass could be estimated to be 0.10-0.25 of the laboratory test results.…”

Section: Engineering Backgroundmentioning

confidence: 99%

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Mining‐induced failure characteristics and surrounding rock control of gob‐side entry driving adjacent to filling working face in the deep coal mine

Chen

Guo

Xie

et al. 2022

Energy Science & Engineering

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This paper studies the width of narrow coal pillars, mining-induced failure characteristics, and surrounding rock control effect of gob-side entry driving (GED) adjacent to 2-1208 filling working face with an approximately 900 m depth. Laboratory experiments, numerical simulations, loosening circle tests, and engineering practices are conducted. The mechanical properties of the filling body, the distribution and evolution law of the second invariant deviatoric stress (J 2 ), and the variation in the plastic zone of the surrounding rock in GED are studied. The conditions of various coal pillar widths and the gob backfilled or not of the adjacent working face are also considered.

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Section: Establishment Of Numerical Modelmentioning

confidence: 99%

Section: Engineering Backgroundmentioning

confidence: 99%

Mining‐induced failure characteristics and surrounding rock control of gob‐side entry driving adjacent to filling working face in the deep coal mine

Chen

Guo

Xie

et al. 2022

Energy Science & Engineering

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“…This indicates that the rock weaks with water content, which increases the internal damage and ultimately reduces the dissipation strain energy rate. In other words, the higher the strength more will be the dissipation strain energy rate and vice versa [72][73][74][75][76][77][78][79].…”

Section: Strain Energy Ratementioning

confidence: 99%

Prediction of Sandstone Dilatancy Point in Different Water Contents Using Infrared Radiation Characteristic: Experimental and Machine Learning Approaches

Khan

Cao

et al. 2022

Lithosphere

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In rock mechanics, the dilatancy point is always occurring before rock failure during loading process. Water content plays a significant role in the rock physiomechanical properties, which also impact the rock dilatancy point under loading process. This dilatancy point significantly plays a warning role in the rock engineering structures stability. Therefore, it is essential to predict the rock dilatancy point under different water contents to get an early warning for effective monitoring of engineering projects. This study investigates the water contents effects on sandstone dilatancy point under loading in the presence of infrared radiation (IR). Furthermore, this IR was used for the first time as an input parameter for different artificial intelligence (AI) techniques to predict the dilatancy point in the stress-strain curve. The experimental findings show that the stress range in stress-strain curve stages (crack closure and unstable crack propagation) increases with water content. However, this range for deformation and stable crack propagation stages decreases with water content. The dilatancy stress, crack initiation stress, and elastic modulus are negatively linearly correlated, while peak stress and stress level are negatively quadraticaly correlated with a high (R2). The absolute strain energy rate, which gives a sudden increase at the point of dilatancy, is used as the dilatancy point index. The stress level is 0.86 σmax at the dilatancy point for dry rock and decreases with water content. This index is predicted from IR data using three computing techniques: artificial neural network (ANN), random forest regression (RFR), and k-nearest neighbor (KNN). The performance of all techniques was evaluated using R2 and root-means-square error (RMSE). The results of the predicted models show satisfactory performances for all, but KNN is remarkable. The research findings will be helpful and provide guidelines about underground engineering project stability evaluation in water environments.

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“…Under the experimental conditions of low confining pressure or high impact load, gas-bearing coal showed crushing failure, while under other experimental conditions, coal samples showed an axial tensile failure mode [37]. Shen Rongxi et al conducted research on the peak stress and strain of the dynamic parameters of coal samples under uniaxial and triaxial static load prestress and the triaxial static load prestress and strain rate [38]. Wang Lei et al studied the dynamic stress and strain characteristics of a coal body when the gas pressure was 0, 0.5, 1.0, and 1.5 MPa.…”

Section: Introductionmentioning

confidence: 99%

Study on Dynamic Parameters and Energy Dissipation Characteristics of Coal Samples under Dynamic Load and Temperature

Zhao,

Wang,

Chen

2023

Processes

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Coal and rock dynamic disasters such as rock burst and outburst seriously threaten the sustainable development of the coal mining industry, which are intimately correlated with the nonlinear dynamic response process of the deep coal and rock mass. This study conducts coal dynamic experiments under vibration load from room temperature to 60 °C by using the split Hopkinson bar (SHPB) with a temperature real-time control system and analyzes the variation in stress and strain and the energy dissipation characteristics of coal during the dynamic load process. The expression equation of dissipated energy of coal at different scales is established, and the judgment conditions of the macroscopic mechanical behavior of coal are analyzed theoretically. The stress curves show a multi-stress peak phenomenon when the coal samples are subjected to different temperatures and dynamic loads, and the coal’s dynamic stress and temperature show a polynomial fitting relationship at different stages. When the coal sample is subjected to temperature and dynamic load, the macroscopic changes in incident energy, reflected energy, and dissipated energy are consistent; that is, various energies gradually increase to a fixed value and tend to stabilize with the time of stress wave action. The transmission energy exhibits a rising trend in correlation with the duration of the dynamic load action, but the value is less than 0.1 J. The growth gradients of the different energies, in descending order, are: the growth gradient of incident energy, reflection energy, dissipation energy, and transmission energy. The energy inflection point appears at 60 °C. Based on the linear elastic fracture mechanics and damage mechanics theories, the expression for coal energy dissipation from the nanoscale to the microscale is established, and the relationship between energy dissipation and macroscopic mechanical behavior response of the coal samples is analyzed. The main physical components of the coal sample are calcite and kaolinite. Within the temperature range of 18–60 °C, the macroscopic failure form of the coal is horizontal tensile failure. The study results are introduced into dynamic disaster prevention and control and the surrounding rock system stability evaluation in deep mines.

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Experimental and numerical study of coal-rock bimaterial composite bodies under triaxial compression

Cited by 7 publications

References 40 publications

Mining‐induced failure characteristics and surrounding rock control of gob‐side entry driving adjacent to filling working face in the deep coal mine

Mining‐induced failure characteristics and surrounding rock control of gob‐side entry driving adjacent to filling working face in the deep coal mine

Prediction of Sandstone Dilatancy Point in Different Water Contents Using Infrared Radiation Characteristic: Experimental and Machine Learning Approaches

Study on Dynamic Parameters and Energy Dissipation Characteristics of Coal Samples under Dynamic Load and Temperature

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