4.4 Article

Study on the characteristics of coal rock electromagnetic radiation (EMR) and the main influencing factors

Journal

JOURNAL OF APPLIED GEOPHYSICS
Volume 148, Issue -, Pages 216-225

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jappgeo.2017.11.018

Keywords

Coal rock; Electromagnetic radiation; Microstructure; Piezoelectric effect

Funding

  1. State Key Research Development Program of China [2016YFC0801404]
  2. National Natural Science Foundation of China [51674254, 51504097]
  3. National Science and Technology Major Project of China [2016ZX05045005]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

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Coal rock would produce electromagnetic radiation (EMR) in the loading process, but study on the influence factors influence on the coal rock EMR characteristics in the mesoscopic level is not insufficient In the paper, the EMR characteristics of coal and rock samples under uniaxial loading are studied. Several typical microcosmic mechanisms affecting the characteristics of EMR are discussed, such as strength, composition and microstructure of the samples. Results show that the macroscopic structure of the outburst coal is soft, the corresponding EMR signal increases slowly with the loading increase and the EMR peak is smaller. The rockburst coal has a strong brittleness, the EMR signal increases quickly and EMR peak appears while the coal breaks is larger than the outburst coal. The EMR characteristics of rock samples are similar to the rockburst coal, but the EMR peak is the largest. When the coal rock microstructure is complete, the coal rock block is larger and the brittleness is stronger, then the corresponding strength would be larger. And the free charge generated by thermal excitation, field emission and intergranular chemical bond breakage would also be more. In the meantime, the crack propagation rate becomes greater, therefore the EMR is more stronger. The piezoelectric effect is mainly caused by the linear elastic stage of the specimen deformation and rupture, which contributes less to the EMR signals. This study is of great theoretical and practical value for assessing the mechanical state of coal rock through EMR technology, and accurately monitoring and predicting the coal rock dynamic disasters. (C) 2017 Elsevier B.V. All rights reserved.

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