Experimental Investigation on Mechanical and Acoustic Emission Characteristics of Gassy Coal under Different Stress Paths

Int J Environ Res Public Health. 2022 Jun 27;19(13):7873. doi: 10.3390/ijerph19137873.

Abstract

Coal mining leads to stress loading-unloading variation in front of the working face, which influences the occurrence of disasters. In order to study the influence mechanism of stress loading-unloading to the coal failure, a series of experiments of gas-bearing coal deformation and failure under triaxial stress were conducted and acoustic emission (AE) was monitored. In this study, the effect of gas pressure on the mechanical behavior of gas-bearing coal in conventional triaxial stress (CTS) experiments and fixed axial stress and unloading confining stress (FASUCS) experiments was analyzed, and the damage evolution rules of gas-bearing coal in the CTS experiments and FASUCS experiments were determined using AE. The results show that with the increasing of gas pressure, the peak strength and peak strain of gas-bearing coal in the CTS experiments and FASUCS experiments gradually decrease, and the peak of AE ring-down counts lags behind the peak strength. Compared with the CTS experiments, the strength of gas-bearing coal in the FASUCS experiments is lower and the precursor information appears later. The trends in calculated stress and damage coefficient D are consistent with the stress path during unloading, and both begin to rise sharply after the sample enters the plastic stage. Therefore, AE ring-down counts, damage coefficient D, and calculated stress can be used as precursor information for failure of coal and rock, which has great significance for the further study of coal-rock material and for early hazard warning.

Keywords: acoustic emission; damage coefficient; fixed axial stress and unloading confining stress; gas-bearing coal.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acoustics
  • Coal Mining*
  • Coal*

Substances

  • Coal

Grants and funding

This work was supported by the National Natural Science Foundation of China (51974169); Natural Science Foundation of Shandong Province (ZR2020QE124); China Postdoctoral Science Foundation (2018M642632; 2019M652346).