Analysis of the evolution characteristics of infrared energy of coal samples under composite disturbance of dynamic and static loads

Abstract

Abstract Coal deformation and damage are the fundamental causes of mining disasters. This paper proposes an intelligent sensing method of infrared thermal imaging applied to the qualitative analysis of deformation and damage of coal mass during loading. A thermal infrared imager and crack monitoring equipment were used to jointly monitor the average infrared radiation temperature (AIRT) and damage pattern of coal samples under complex disturbances during uniaxial loading. The time-frequency characteristics of infrared radiation during the coal sample destruction process were analyzed; and a Mask R-CNN crack recognition model was constructed to detect different crack shapes after the coal sample was destroyed. The results show that the uniaxial compressive strength of coal samples under static load is greater than the combined disturbance of dynamic and static loads, the degree of deformation and damage of the coal sample is more severe, and the cracks are more obvious; the uniaxial compressive strength of low-frequency dynamic and static loads is higher than that of high-frequency dynamic and static loads Disturbance; proposed a DST analysis method for coal samples and a new index of coal sample damage. The research results can provide reference indicators for early warning of coal and rock deformation and damage.