Analytical Damage Model for Predicting Coal Failure Stresses by Utilizing Acoustic Emission

Overburden collapse and water inrush in mines are primarily caused by rock fractures. Mining safety can be enhanced monitoring identifying early signs of coal failure the mines. This article collected acoustic emission data synchronously throughout a series uniaxial compression (UC) experiments on natural water-saturated coal. The influence mechanisms water, mechanical properties, signals stress–strain curve SEM results dry samples investigated. As result, properties not only weakened saturation, such as elastic modulus, strain, stress, compressive strength but also reduced emissions. In comparison with saturated coal, has stress 13.55 MPa an modulus 1.245 GPa, while 8.21 0.813 GPa. Intergranular fractures more likely to occur high content, whereas transgranular less content. An innovative unique statistical model damage under loading been developed analyzing data. Since this technique takes into account compaction stage, models based were found superior those lognormal or Weibull distributions. A correlation coefficient greater than 0.956 exists between piecewise constitutive experimental curve. Statistical for compatible model. Additionally, precisely forecast associated both useful prevention rock-coal disasters conditions.