2022
DOI: 10.1007/s11053-021-10006-7
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Macro- and Meso-Damage Evolution Characteristics of Coal Using Acoustic Emission and Keuence Testing Technique

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Cited by 17 publications
(4 citation statements)
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“…Based on its theory, the AE waves enable spatial localization of internal cracking sounds of coal samples based on the arrival times acquired by different sensors. For more detailed information about the DS5–16C AE system, please refer to the relevant literature. …”
Section: Materials and Methodologymentioning
confidence: 99%
“…Based on its theory, the AE waves enable spatial localization of internal cracking sounds of coal samples based on the arrival times acquired by different sensors. For more detailed information about the DS5–16C AE system, please refer to the relevant literature. …”
Section: Materials and Methodologymentioning
confidence: 99%
“…Coal rock destabilization damage is a dynamic evolution process in which its internal cracks continuously start to crack and expand until penetration. Acoustic emission monitoring technology is considered to be an effective method to study the damage and destruction process of coal rock and to characterize the destruction mechanism of coal rock . Shan et al investigated the effect of water content on the damage characteristics of loaded coal rock with the help of acoustic emission technology .…”
Section: Introductionmentioning
confidence: 99%
“…Acoustic emission monitoring technology is considered to be an effective method to study the damage and destruction process of coal rock and to characterize the destruction mechanism of coal rock. 11 Shan et al investigated the effect of water content on the damage characteristics of loaded coal rock with the help of acoustic emission technology. 12 Cui et al elucidated the relationship between strain and damage variables during uniaxial compression by analyzing the acoustic emission ringing number.…”
Section: Introductionmentioning
confidence: 99%
“…Li et al used high-frequency AE to monitor true triaxial hydraulic fracturing of coal. Zhang et al , used AE in the experiments of coal-bearing rocks and different types of coal to detect the generation of microcracks and the evolution of macroscopic and microscopic failures. Hao et al obtained 3D reconstructed coal samples by CT scanning of bituminous coal with different water contents.…”
Section: Introductionmentioning
confidence: 99%