Experimental investigation of predicting coal failure using acoustic emission energy and load-unload response ratio theory

Wang, Chunlai; Hou, Xiaolin; Liao, Ze-feng; Chen, Zeng; Lu, Zhen

doi:10.1016/j.jappgeo.2018.12.010

Cited by 28 publications

(12 citation statements)

References 35 publications

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“…e fitting results of different specimens are listed in Table 7: R 2 for data from PC and PR specimens was between 0.94365 and 0.97692, and equations (21) and (22) can accurately describe the process of energy release of specimens before impact-induced failure. e strength-volume rate parameters λ c and λ r of coal and rock masses were separately valued as their corresponding means (0.02557 and 0.00156).…”

Section: Strength-volume Density Constant Of Coal and Rockmentioning

confidence: 99%

“…Two methods (laboratory monitoring and numerical simulation) are frequently applied in such research into the energy release from coal and rock masses [12][13][14][15][16][17][18][19][20][21]. By monitoring the acoustic emission (AE) energy in coal masses during loading and unloading, Wang et al [22] found that energy release of coal masses is related to the fractures therein. Meng et al [23] suggested that energy release is correlated with loads while being unrelated to loading rate by monitoring AE events under uniaxial load.…”

Section: Introductionmentioning

confidence: 99%

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Failure Mechanism of a Coal‐Rock Combined Body with Inclinations of Structural Planes and a Calculation Model for Impact Energy

Zhao

Gao

et al. 2019

Advances in Civil Engineering

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A coal-rock (CR) combined body can be used to simulate structures of coal and rock strata, and its impact-induced failure characteristic conforms more close to engineering practice. Exploring the mechanical properties and impact energy in a CR combined body contributes to better predictions of rock bursts in coal mines. In the study, the mechanical properties of CR combined bodies with four different inclinations (0°, 15°, 30°, and 45°) of structural planes were measured, and also their failure mechanism was analysed. Based on the theory of particle mechanics, a calculation model for impact energy in a CR combined body with inclinations was established and then verified by using monitored acoustic emission (AE) data. The test results showed that inclination affected mechanical properties and failure characteristics of the CR combined body, i.e., the larger the inclination, the lower the strength and impact energy in the CR combined body and the lower the level of damage. The proposed calculation model for impact energy revealed the mechanical essence of energy accumulation and release of a CR combined body, providing a reference for investigating rock burst in coal mines.

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Section: Strength-volume Density Constant Of Coal and Rockmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Failure Mechanism of a Coal‐Rock Combined Body with Inclinations of Structural Planes and a Calculation Model for Impact Energy

Zhao

Gao

et al. 2019

Advances in Civil Engineering

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“…Besides, he also reported that the spectrum characteristics of AE signals generated by tensile failure and shear failure were different. Wang et al [ 30 ] found that AE signals would be relatively less before rock mass instability.…”

Section: Introductionmentioning

confidence: 99%

Application of Two Novel Acoustic Emission Parameters on Identifying the Instability of Granite

Jiang

et al. 2022

Entropy

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The issue of monitoring and early warning of rock instability has received increasing critical attention in the study of rock engineering. To investigate the damage evolution process of granite under triaxial compression tests, acoustic emission (AE) tests were performed simultaneously. This study firstly introduced two novel parameters, i.e., the coefficient of variation (CoV) of the information entropy and correlation dimension of the amplitude data from the AE tests, to identify the precursor of the failure of granite. Then the relationship between the changes in these parameters and the stress-time curve was compared and analyzed. The results of this study show that: (1) There is a strong correlation between the CoV of the information entropy and the failure process of granite. The granite failed when the CoV curve raised to a plateau, which could be used as an indicator of rock instability. (2) The fluctuation of the correlation dimension indicates the different stages during the loading process, i.e., the initial compaction stage, the linear elastic stage, the yield stage, and the failure stage. Each stage contains a descending and a rising process in the correlation dimension curve, and the exhibited starting point or the bottom point at the correlation dimension curve could be selected as the indicator point for the rock instability. (3) The combined analysis of the Information entropy and Correlation dimension can improve the accuracy of rock instability prediction. This study provides new insights into the prediction of rock instability, which has theoretical implications for the stability of subsurface engineering rock masses.

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“…Khazaei et al [1] proved that AE events were caused by fractures of intact rocks, so the change of AE in the loading process was largely related to fractures existing in rocks. Wang et al [2] and Mlakar et al [3] found that the change characteristics of AE signals were related to the failure of coal and rock, which could be used to monitor the progressive change of rock fracture development.…”

Section: Introductionmentioning

confidence: 99%

Multivariate Prediction Model of Strength and Acoustic Emission Energy considering Parameter Correlation of Coal or Rock

Zhang

2020

Advances in Materials Science and Engineering

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Due to the heterogeneity of the internal structure and the different external loading conditions, the mechanical and acoustic emission (AE) characteristic parameters of coal and rock are discrete in the process of loading until failure, and many repeated and destructive tests need to be completed to obtain the performance parameters. It is of theoretical significance to explore the correlation of various parameters and to establish multiparameter regression models of coal rock strength and AE characteristics for predicting the strength and acoustic emission characteristic parameters of coal rock and reducing the repeated tests. For the coal sample from a coal seam of Longde Coal Mine in China, the mass density of coal samples and the acoustic velocity in the samples before loading are measured at first, and their respective coefficient of variation is analyzed. Then, the stress-strain curve and the time history curve of AE characteristic parameters are obtained by the uniaxial compression AE test of each coal sample according to the different loading rates. The influence of loading rate, mass density, and acoustic velocity on the mechanical and AE energy parameters of coal sample is analyzed by the section morphology of the coal sample after failure, the three-dimensional location map of AE, and the scanning micrograph of the electron microscope. Based on the least-square method, the multiple regression models of compressive strength, elastic modulus, and the maximum AE energy are established by mass density, acoustic velocity, and loading rate of coal samples. The results indicate that, for the coal samples from the same geological source, the obtained regression models can, respectively, predict the uniaxial compressive strength, elastic modulus, and the maximum AE energy according to the predesigned loading rate, the acoustic velocity, and mass density of coal samples measured before loading, without too many repeated loading failure tests.

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Experimental investigation of predicting coal failure using acoustic emission energy and load-unload response ratio theory

Cited by 28 publications

References 35 publications

Failure Mechanism of a Coal‐Rock Combined Body with Inclinations of Structural Planes and a Calculation Model for Impact Energy

Failure Mechanism of a Coal‐Rock Combined Body with Inclinations of Structural Planes and a Calculation Model for Impact Energy

Application of Two Novel Acoustic Emission Parameters on Identifying the Instability of Granite

Multivariate Prediction Model of Strength and Acoustic Emission Energy considering Parameter Correlation of Coal or Rock

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