Affiliation:
1. School of Resources, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Abstract
Geological hazards, such as the frequent occurrence of rock bursts in deep mining, emphasize the critical necessity for the early warning and prediction of dynamic fractures in coal and rock masses, as well as the destabilization of the surrounding rock. This study delves into the mechanisms of electromagnetic radiation (EMR) signals and their synchronous coupling with micro-seismic (ME) signals. EMR and ME signals from rock specimens were systematically collected during the uniaxial compression fracture process using a dedicated monitoring and acquisition system. Employing the wavelet analysis method, the original data underwent reconstruction and denoising, while the EMR and ME spectra, derived through fast Fourier transform, were subjected to detailed scrutiny. The comprehensive analysis unveiled that EMR signals arising from rock fractures exhibited precise timing synchronization with ME signals. Moreover, the dominant frequencies of both signals are closely aligned within the low-frequency band, indicating a remarkable degree of similarity and homology. These findings establish an experimental basis for the development of monitoring and early warning systems geared toward assessing damage to coal and rock masses using EMR and ME signals.
Funder
National Natural Science Foundation of China
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference37 articles.
1. ME and electromagnetic coupling method for coal bump risk assessment based on dynamic static energy principles;He;Saf. Sci.,2019
2. Stability control mechanism of high-stress roadway surrounding rock by roof fracturing and rock mass filling;Qi;Adv. Civ. Eng.,2021
3. Efficient mine ME monitoring;Ge;Int. J. Coal Geol.,2005
4. Qiu, L.M., Zhu, Y., Song, D.Z., He, X.Q., Wang, W.X., Liu, Y., Xiao, Y.Z., Wei, M.H., Yin, S., and Liu, Q. (2022). Study on the Nonlinear Characteristics of EMR and AE during Coal Splitting Tests. Minerals, 12.
5. A review on deformation-induced electromagnetic radiation detection: History and current status of the technique;Sharma;J. Mater. Sci.,2021
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