LAPSE:2023.28228
Published Article

LAPSE:2023.28228
Study on the Variation Laws and Fractal Characteristics of Acoustic Emission during Coal Spontaneous Combustion
April 11, 2023
Abstract
Acoustic emission (AE) technology has the advantage of online localization to study the change laws of AE in the process of coal spontaneous combustion and to reveal the generation mechanisms of AE signal during the process of heating and rupture of coal body from a microscopic perspective. This paper first constructs a large-scale coal spontaneous combustion AE test system and conducts experimental tests on the AE signal in the process of coal spontaneous combustion. The results show that with the increase of temperature in the process of coal spontaneous combustion, the AE signal shows a trend of increasing fluctuations. Low-temperature nitrogen adsorption experiments studied the pore structure of coal spontaneous combustion, and the results showed a correspondence between the development of pores and the temperature of coal spontaneous combustion. Further, through the analysis of the evolution of the pore structure of coal through Fourier transform and fractal theory, it is found that the high-frequency main frequency AE signal and average frequency are continuously enhanced with the increase of temperature. The fractal dimension of the pore structure and the fractal dimension of the AE count of the coal body first rise and then decline. The mechanism of coal spontaneous combustion AE of coal is revealed, and the pore development caused by thermal stress when coal heats up is the main source of AE signal generation. The research in this paper is of great significance for applying AE technology to detect the position of coal spontaneous combustion.
Acoustic emission (AE) technology has the advantage of online localization to study the change laws of AE in the process of coal spontaneous combustion and to reveal the generation mechanisms of AE signal during the process of heating and rupture of coal body from a microscopic perspective. This paper first constructs a large-scale coal spontaneous combustion AE test system and conducts experimental tests on the AE signal in the process of coal spontaneous combustion. The results show that with the increase of temperature in the process of coal spontaneous combustion, the AE signal shows a trend of increasing fluctuations. Low-temperature nitrogen adsorption experiments studied the pore structure of coal spontaneous combustion, and the results showed a correspondence between the development of pores and the temperature of coal spontaneous combustion. Further, through the analysis of the evolution of the pore structure of coal through Fourier transform and fractal theory, it is found that the high-frequency main frequency AE signal and average frequency are continuously enhanced with the increase of temperature. The fractal dimension of the pore structure and the fractal dimension of the AE count of the coal body first rise and then decline. The mechanism of coal spontaneous combustion AE of coal is revealed, and the pore development caused by thermal stress when coal heats up is the main source of AE signal generation. The research in this paper is of great significance for applying AE technology to detect the position of coal spontaneous combustion.
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Keywords
AE, coal spontaneous combustion, fractal, thermal rupture, time frequency
Subject
Suggested Citation
Yin J, Shi L, Liu Z, Lu W, Pan X, Zhuang Z, Jiao L, Kong B. Study on the Variation Laws and Fractal Characteristics of Acoustic Emission during Coal Spontaneous Combustion. (2023). LAPSE:2023.28228
Author Affiliations
Yin J: College of Finance and Economics, Shandong University of Science and Technology, Taian 271000, China
Shi L: College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Liu Z: College of Finance and Economics, Shandong University of Science and Technology, Taian 271000, China
Lu W: College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Pan X: Dongtan Coal Mine, Yanzhou Coal Mining Company Ltd., Jining 272000, China
Zhuang Z: College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Jiao L: Qingdao Sinotrans Logistics Co., Ltd., Qingdao 266000, China
Kong B: College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Shi L: College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Liu Z: College of Finance and Economics, Shandong University of Science and Technology, Taian 271000, China
Lu W: College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Pan X: Dongtan Coal Mine, Yanzhou Coal Mining Company Ltd., Jining 272000, China
Zhuang Z: College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Jiao L: Qingdao Sinotrans Logistics Co., Ltd., Qingdao 266000, China
Kong B: College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Journal Name
Processes
Volume
11
Issue
3
First Page
786
Year
2023
Publication Date
2023-03-07
ISSN
2227-9717
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Original Submission
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PII: pr11030786, Publication Type: Journal Article
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LAPSE:2023.28228
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https://doi.org/10.3390/pr11030786
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Apr 11, 2023
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