Acoustic emission response and evolution of precracked coal in the meta-instability stage under graded loading

Ding, Zeng; Feng, Xiaoting; Wang, Enyuan; Wei, Qilei; Zhao, Xue; Hu, Qinjing

doi:10.1016/j.enggeo.2022.106930

Cited by 45 publications

(10 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Deep mines operate within a mechanical environment characterized by high ground stress, and under the influence of various stress pathways during activities, such as mining, excavation, and blasting, the abrupt failure of tunnel-surrounding rock is prone to induce rock burst disasters. Abundant research findings indicate that the genesis and development of rock burst disasters are often accompanied by the release of energy, encompassing forms such as elastic deformation energy, AE, and EMR [1][2][3][4][5][6][7]. Signals, including acoustic and electromagnetic radiation, contain rich information about rock fractures.…”

Section: Introductionmentioning

confidence: 99%

Improving Mining Sustainability and Safety by Monitoring Precursors of Catastrophic Failures in Loaded Granite: An Experimental Study of Acoustic Emission and Electromagnetic Radiation

Wang,

Ma,

Liu

et al. 2024

Sustainability

View full text Add to dashboard Cite

Effective monitoring and early warning methods are crucial for enhancing safety and sustainability in deep coal resource extraction, particularly in mitigating rock burst disasters triggered by abrupt rock failure under high–ground–stress conditions. This paper presents the results of experimental investigations that involved conventional uniaxial direct and graded mechanical tests on granite that concurrently collected acoustic emission (AE) and electromagnetic radiation (EMR) signals. This study focused on the temporal evolution patterns of characteristic parameters in AE and EMR signals during granite deformation and fracture processes. To deconstruct and understand these temporal evolution characteristics, multifractal and critical slowing–down theories are introduced. The research findings reveal significant correlations between the evolution of AE and EMR characteristic parameters and the stages of rock deformation and fracture. Notably, dynamic changes in multifractal parameters (Δα and Δf) quantitatively reflected the deformation and fracture processes, with abrupt increases in Δα and sudden decreases in Δf closely associated with large–scale rock fractures. The temporal continuity of critical slowing–down parameters (variance and autocorrelation coefficient) demonstrated increased sensitivity as rock destruction approaches, with the variance emerging as a crucial indicator for large–scale fractures. This study observed a sudden increase in the variance of AE and EMR signals when the stress level reached 80–90% of the peak stress. Joint monitoring through diverse methods and multiple indicators enhanced the effectiveness of rock burst disaster warnings, contributing to the safety and sustainability of coal resource extraction. Further refinement and exploration of these indicators offer promising avenues for advancing rock failure monitoring and early warning capabilities in coal mines.

show abstract

Section: Introductionmentioning

confidence: 99%

Improving Mining Sustainability and Safety by Monitoring Precursors of Catastrophic Failures in Loaded Granite: An Experimental Study of Acoustic Emission and Electromagnetic Radiation

Wang,

Ma,

Liu

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Consequently, knowing the saturation impact on the coal fracture behavior is very valuable in evaluating the stabilizing of rock structures and preventing damage to them. Acoustic emission (AE), often referred to as stress wave emission, is the abrupt strain energy release in the form of an elastic wave during material deformation [27][28][29]. Researchers have extensively investigated AE waveforms and the link between AE signal performance and the mechanical process of coal failure [30].…”

Section: Introductionmentioning

confidence: 99%

“…Scholars studied the evolution of microcracks in rocks under saturated conditions using AE data [49]. The results demonstrated that the varying characteristics of rock crack propagation could be characterized by the AE events frequency along with volume change [12,28,46,50].The change in P-wave velocity along with AE parameters in porous rock were studied after micro-crack closure by Fortin et al and Liu et al [51,52]. Zhou et al have taken sandstone under different water contents as a research object and investigated AE characteristics along with the type I fracture mechanism [53].…”

Section: Introductionmentioning

confidence: 99%

Analytical Damage Model for Predicting Coal Failure Stresses by Utilizing Acoustic Emission

Ali

Wang

et al. 2023

Sustainability

Self Cite

View full text Add to dashboard Cite

Overburden collapse and water inrush in mines are primarily caused by rock fractures. Mining safety can be enhanced by monitoring and identifying early signs of coal failure in the mines. This article collected acoustic emission data synchronously throughout a series of uniaxial compression (UC) experiments on natural and water-saturated coal. The influence mechanisms of water, mechanical properties, and acoustic emission signals on the stress–strain curve and the SEM results of water-saturated and dry samples are investigated. As a result, the mechanical properties of coal are not only weakened by water saturation, such as elastic modulus, strain, stress, and compressive strength but also reduced acoustic emissions. In comparison with saturated coal, natural coal has a uniaxial stress of 13.55 MPa and an elastic modulus of 1.245 GPa, while saturated coal has a stress of 8.21 MPa and an elastic modulus of 0.813 GPa. Intergranular fractures are more likely to occur in coal with a high water content, whereas transgranular fractures are less likely to occur in coal with a high water content. An innovative and unique statistical model of coal damage under uniaxial loading has been developed by analyzing the acoustic emission data. Since this technique takes into account the compaction stage, models based on this technique were found to be superior to those based on lognormal or Weibull distributions. A correlation coefficient of greater than 0.956 exists between the piecewise constitutive model and the experimental curve. Statistical damage constitutive models for coal are compatible with this model. Additionally, the model can precisely forecast the stress associated with both natural and saturated coal and can be useful in the prevention of rock-coal disasters in water conditions.

show abstract

“…They conducted research on the formation and propagation mechanism of microcracks in the evolution of granite failures, the research results provided insights for predicting the precursors of rock instability [25] . Ding et al [26] studied the AE behavior of pre-cracked coal under different loading conditions through graded loading experiments. The relationship between AE events and coal damage instability was explored, and its mechanism was explained.…”

Section: Introductionmentioning

confidence: 99%

Study on failure mechanism of tight sandstone based on moment tensor inversion

Dang

Yang

Zhu

2023

Heliyon

View full text Add to dashboard Cite

Acoustic emission response and evolution of precracked coal in the meta-instability stage under graded loading

Cited by 45 publications

References 66 publications

Improving Mining Sustainability and Safety by Monitoring Precursors of Catastrophic Failures in Loaded Granite: An Experimental Study of Acoustic Emission and Electromagnetic Radiation

Improving Mining Sustainability and Safety by Monitoring Precursors of Catastrophic Failures in Loaded Granite: An Experimental Study of Acoustic Emission and Electromagnetic Radiation

Analytical Damage Model for Predicting Coal Failure Stresses by Utilizing Acoustic Emission

Study on failure mechanism of tight sandstone based on moment tensor inversion

Contact Info

Product

Resources

About