Drilled-hole number effects on energy and acoustic emission characteristics of brittle coal

Gu, Xuebin; Gong, Xufei; Zhang, C.G.; Gu, Yingshi; Wang, Chao; Wang, Guangmin; Guo, Wei‐yao

doi:10.1016/j.jmrt.2023.02.045

Cited by 13 publications

(3 citation statements)

References 34 publications

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“…Cui et al elucidated the relationship between strain and damage variables during uniaxial compression by analyzing the acoustic emission ringing number . Through the improved G–P algorithm, Gu calculated the fractal characteristics of acoustic emission parameters and concluded that the sudden decrease of fractal dimension could be used as a criterion for the damage precursor of coal samples . With the development of computers, numerical simulation technology has shown unique advantages in the study of the evolutionary characteristics of coal rock microfracture emergence and expansion .…”

Section: Introductionmentioning

confidence: 99%

“… 13 Through the improved G–P algorithm, Gu calculated the fractal characteristics of acoustic emission parameters and concluded that the sudden decrease of fractal dimension could be used as a criterion for the damage precursor of coal samples. 14 With the development of computers, numerical simulation technology has shown unique advantages in the study of the evolutionary characteristics of coal rock microfracture emergence and expansion. 15 Liu used the PFC program to establish coal rock assemblage specimens with different height ratios and analyzed the effect of height ratio on the mesomechanical properties of the assemblage specimens.…”

Section: Introductionmentioning

confidence: 99%

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Damage Evolution Characteristics and Constitutive Model for Coal and Rock under Asymmetric Loading

Wang,

Zhao,

Zhang

et al. 2024

ACS Omega

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Tunnels and shaft mining roadways are often subjected to varying degrees of asymmetric loading due to terrain relief or project excavation. In order to analyze the influence of the asymmetric degree of loading on the mechanical properties and damage rupture law of coal rock, uniaxial compression tests of coal rock under four asymmetric loading modes were carried out, the influence of the asymmetric coefficients of loading on macro- and micromechanical properties of coal and rock was analyzed, and a statistical damage constitutive model of coal and rock was established to reflect the asymmetric loading degree. The results of the study show that the peak stress of the coal rock decreases gradually with the increase in the asymmetric coefficient of loading, and the two are linear functions of each other. The distribution of the acoustic emission ringing count peak value is concentrated under uniform loading, while the acoustic emission ringing count rate presents a multipeak phenomenon under asymmetric loading, and the peak value points are scattered. In the case of asymmetric loading, the stress concentration on the edge of the upper loading plate leads to shear failure, and the microscopic cracks are concentrated near the interface between the loading zone and the nonloading zone. According to the established damage constitutive model, when the damage degree is the same, the larger the asymmetric coefficient, the smaller the strain value, which indicates that the asymmetric loading promotes the damage of coal and rock.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Damage Evolution Characteristics and Constitutive Model for Coal and Rock under Asymmetric Loading

Wang,

Zhao,

Zhang

et al. 2024

ACS Omega

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“…Rockburst as one of the most severe disasters in deep coal mining [1,2], can be prevented through drill-hole pressure relief [3][4][5]. However, the mechanical properties of the surrounding rock in the drill-hole pressure relief surface are changeable, which may lead to drilling tools sticking and affect production safety and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Drill tools sticking prediction based on adaptive long short-term memory

Wu,

Wang,

et al. 2024

Meas. Sci. Technol.

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As one of the most severe disasters in deep coal mining, rockburst can be prevented through drill-hole pressure relief. However, the coal mine is characterized by high crustal stress and changeable mechanical properties of surrounding rock, which will cause drill rod deflection phenomenon, then lead to rod-deflection sticking accidents. This paper proposes a prediction method based on adaptive long short-term memory (ALSTM) for rod-deflection sticking accidents to improve drilling efficiency and reduce sticking accidents. Firstly, the sticking data is obtained through the intelligent drilling condition simulation experimental platform, and then the sticking features are extracted based on the sticking data. Secondly, the sticking factor is constructed, and the sticking critical line is set. Thirdly, the good-point set and the proposed random perturbation algorithm are employed to improve the spotted hyena optimizer (SHO) to obtain the improved spotted hyena optimizer (ISHO). Finally, we use the ISHO to optimize the hyperparameters of the long short-term memory and then establish the sticking prediction model based on ALSTM. The experimental results show that the proposed prediction model meets the demands for sticking prediction very well.

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Experimental study and evaluation on the weakening of bursting liability of coal with boreholes

Yin,

Chen,

Zhang

et al. 2024

Engineering Failure Analysis

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Drilled-hole number effects on energy and acoustic emission characteristics of brittle coal

Cited by 13 publications

References 34 publications

Damage Evolution Characteristics and Constitutive Model for Coal and Rock under Asymmetric Loading

Damage Evolution Characteristics and Constitutive Model for Coal and Rock under Asymmetric Loading

Drill tools sticking prediction based on adaptive long short-term memory

Experimental study and evaluation on the weakening of bursting liability of coal with boreholes

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