Crack evolution and acoustic emission characteristics of rock specimens containing random joints under uniaxial compression

Ma, Wenqiang; Wang, Jiuting; Li, Xiaoxiao; Wang, Tongxu

doi:10.1007/s11600-021-00686-3

Cited by 11 publications

(2 citation statements)

References 23 publications

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“…The extension of cracks in coal rocks is an extremely complex phenomenon that is accompanied by the emergence, extension and penetration of microcracks during the loading process, causing the deformation of coal rocks at the same time [5,6]. Numerous studies have shown that strain is an important index of coal rock fracture evolution [5,7].…”

Section: Introductionmentioning

confidence: 99%

Precursor Signal Identification and Acoustic Emission Characteristics of Coal Fracture Process Subjected to Uniaxial Loading

et al. 2023

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In deep underground mine engineering, the critical warning signals before the sudden failure of coal are crucial to predict coal or rock dynamic catastrophes and to help the coal industry grow sustainably. Therefore, with the objective of accurately identifying the precursor signals of coal fracture, a uniaxial compression test was adopted. Tests were performed on multiple sets of raw coal samples, and acoustic emission (AE) technology was used to capture the deformation and destruction courses of the coal samples. Furthermore, the signal intensity of AE energy was discussed. Based on the critical slowing down theory, the AE energy sequence was processed. The results indicate that there are significant discrepancies in the strength of coal affected by initial pore fissures. During the whole loading process, the AE energy signals showed obvious stage characteristics, and there was a high risk of rapid coal energy storage during the unstable rupture development (URD) stage, which predicted the imminent destruction of the coal. The variance mutation point that was not affected by the lag step selection was easier to identify than that of the autocorrelation coefficient, and the precursor points were all in the URD stage, which is more accurate than using the AE cumulative energy curve slope.

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Section: Introductionmentioning

confidence: 99%

Precursor Signal Identification and Acoustic Emission Characteristics of Coal Fracture Process Subjected to Uniaxial Loading

et al. 2023

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“…The results show that the stress asymmetry on the vertical axis of the tunnel increases with the increase in joint dip angle, and the 45° joint dip angle can be regarded as the critical angle between bending and sliding of the joint rock mass. Ma (Ma et al 2021) performed uniaxial compression tests on randomly jointed rock mass using a 2D particle ow code. The increase in a single variable in the number or length of rock joints resulted in a linear decrease in elastic modulus and a nonlinear decrease in UCS, and the fracture behavior of the specimens changed from brittle to ductile deformation during this process.…”

Section: Introductionmentioning

confidence: 99%

Classification optimization of tunnel surrounding rock based on geometric parameter effect of joints

Han

et al. 2023

Preprint

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This research aims to study the relationship between the mechanical properties and failure modes of jointed rock mass and the geometrical parameters of the joint and to optimize the grading of the tunnel surrounding rock according to the test results. The numerical model of the jointed rock mass is established using the discrete element particle flow program PFC2D. An uniaxial compression test simulation is conducted for the joint rock mass, considering that the joint dip angle and joint spacing exist simultaneously. Test results show that when the joint dip angle is 45°, the mechanical properties of the jointed rock mass are the worst, the UCS and elastic modulus are the smallest, and the Poisson’s ratio reaches the maximum. When the joint spacing is large, the joint dip angle leads to failure. With the increase in the joint dip angle from 0° to 45°, the failure mode changes from intact rock mass failure to plane and block failure. The change rule is the opposite when the joint dip angle ranges from 45° to 90°. When the spacing is small, the joint spacing dominates the failure mode. With an increase in spacing, the failure mode changes from an intact rock mass to a plane and block failure mode. Based on the influence of joint geometric parameters on the mechanical properties of the rock mass, the surrounding rock classification method was optimized using the basic quality index of the rock mass (BQ).

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Mechanical properties and fracture evolution process of Beishan granite under tensile state

Wang

Liu

Zhao

et al. 2022

Bull Eng Geol Environ

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Crack evolution and acoustic emission characteristics of rock specimens containing random joints under uniaxial compression

Cited by 11 publications

References 23 publications

Precursor Signal Identification and Acoustic Emission Characteristics of Coal Fracture Process Subjected to Uniaxial Loading

Precursor Signal Identification and Acoustic Emission Characteristics of Coal Fracture Process Subjected to Uniaxial Loading

Classification optimization of tunnel surrounding rock based on geometric parameter effect of joints

Mechanical properties and fracture evolution process of Beishan granite under tensile state

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