Application of thermally stimulated acoustic emission method to assess the thermal resistance and related properties of coals

Новиков, Е. А.; Oshkin, R. O.; Шкуратник, В. Л.; Эпштейн, С. А.; Dobryakova, N. N.

doi:10.1016/j.ijmst.2017.12.019

Cited by 19 publications

(5 citation statements)

References 14 publications

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“…e coordinates of the events and the correction of the stations can be obtained by applying the standard least squares technique to equation (10).…”

Section: Joint Inversion Of Source Location and Station Correctionmentioning

confidence: 99%

“…Furthermore, fast and accurate source locating is also crucial for rescue and relief work after the earthquake disaster and mine earthquake. e localization methods were also widely applied to the location of microseismic sources in mines, defects in materials, and AE sources of indoor experiments [7][8][9], which can effectively analyze the evolution law of the high stress area and explore the propagation of material cracks [10,11]. erefore, fruitful results have been achieved in the field of microseismic/AE source localization, and a series of effective localization methods have been developed.…”

Section: Introductionmentioning

confidence: 99%

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Some Developments and New Insights for Microseismic/Acoustic Emission Source Localization

Dong

Zou

Sun

et al. 2019

Shock and Vibration

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The purpose of this review is to discuss the development of the methods in microseismic/acoustic emission (AE) source localization and detail the principles of the mainly developed methods. The important applications of the microseismic/AE in engineering practice and the history of the source localization (from the initial Geiger method of localization to the later double-difference method) are introduced briefly in the beginning of the review. The factors that influence the accuracy of source locating are discussed in Section 2 to provide references on how to improve the accuracy of the localization methods. Then, the main localization methods in the history of the source and AE research have been classified into four parts (i.e., the localization methods for single event, the joint inversion methods, the relative localization methods, and the localization methods in spatial domain); each part is extended and systematically reviewed, respectively, from Sections 3 to 6, where the merit and demerit of the methods are discussed. Finally, a brief summary and some aspects of prospective research are presented.

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“…e coordinates of the events and the correction of the stations can be obtained by applying the standard least squares technique to equation (10).…”

Section: Joint Inversion Of Source Location and Station Correctionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Some Developments and New Insights for Microseismic/Acoustic Emission Source Localization

Dong

Zou

Sun

et al. 2019

Shock and Vibration

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“…AE is the phenomenon where materials release stored energy in the form of elastic waves when experiencing localized fractures. Since the discovery of the Kaiser effect by the German scientist Kaiser in the 1940s [8], AE technology has gradually found application in the laboratory study of deformation and fracture in coal-rock materials, as well as in monitoring rock burst disasters in engineering contexts. Previous research showed that parameters such as AE counts and energy can effectively reflect the gradual failure process of rocks [9][10][11], determine the evolution law of rock damage and fracture mechanism, and thus, achieve the identification of rock mass instability precursor information and disaster prediction and warning [12].…”

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

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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.

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“…Acoustic emission (AE), an engineering technique to monitor the production of rock fissures and cracks has been widely used in mechanical experiments (Khandelwal and Ranjith 2017;Zhen et al 2021;Novikov et al 2018;Dong et al 2021;Xue et al 2021;Liu et al 2021;Rui et al 2022). Recently, Du et al connected the AE signals released from rock crack propagation with the failure mode of rocks and found that the distribution of AE density maps and AE frequency can effectively distinguish the failure mode of rocks (Du et al 2016(Du et al , 2020a.In addition, the minerals grain size and composition influence on AE characteristics has also been prevalently researched by analyzing the AE parameter value or distribution, i.e., AE energy, AE hits, AE count, and AE frequency etc.…”

Section: Introductionmentioning

confidence: 99%

Mineral Composition and Grain Size Effects on the Fracture and Acoustic Emission (AE) Characteristics of Rocks Under Compressive and Tensile Stress

Sun

Zhou

et al. 2022

Rock Mech Rock Eng

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The influence of rock mineral composition and mineral grain size on basic rock strength performance and AE characteristics have been studied, 13 different rocks microstructures are analyzed in an optical microscope thin section using petrographic image analysis, making it possible to determine the mineral composition and mineral texture characteristics of rocks. Then, the basic strength parameters of rock and AE signals generated during fracture propagation were obtained by UCT (uniaxial compression test) and BIT (Brazilian intension test). Finally, the relationship between basic strength parameters and AE characteristics of rock with mineral composition and grain size was analyzed. The results showed that different mineral constituents have significant effects on rock strength. The positive influence of plagioclase content on igneous strength was obtained. Sedimentary rocks strength increases initially and then decreases with the increase of plagioclase content. Besides, with the increase in quartz and K-feldspar content, the strength of the rock was weakened obviously. It is also found that the greater the dimensional deviation of mineral grain, the greater the strength of the rock. The strength of igneous rocks was inversely proportional to the mineral grain size, but there is no correlation between the sedimentary rocks strength and the mineral grain size. Furthermore, the tension–shear crack propagation of rock can effectively distinguish by judging that the data set of the AF–RA density graph was nearby the AF axis or RA axis and the peak frequency data sets of below 100 kHz or more than. Alterations in the rock nature are the main key reasons for the differences between AE hit rate, AE count rate, AE energy, and cumulative energy. The plagioclase content and grain size play a decisive role in AE signal characteristics and failure mode.

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Application of thermally stimulated acoustic emission method to assess the thermal resistance and related properties of coals

Cited by 19 publications

References 14 publications

Some Developments and New Insights for Microseismic/Acoustic Emission Source Localization

Some Developments and New Insights for Microseismic/Acoustic Emission Source Localization

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

Mineral Composition and Grain Size Effects on the Fracture and Acoustic Emission (AE) Characteristics of Rocks Under Compressive and Tensile Stress

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