Coal and gas desorption, as a major form of gas energy release, is a key factor in triggering coal and gas outbursts. Therefore, studying the physical characteristics during coal and gas desorption is essential for understanding the development process of coal and gas outbursts. Based on gas dynamics during coal particle gas desorption, this study established a connection between gas desorption and infrasound signals, elaborating on the generation mechanism of infrasound signals during coal particle gas desorption and validating the feasibility of the theory through experimental data, thereby demonstrating the spontaneous occurrence of subsonic tremors during coal particle gas desorption. Combining observational data, it was found that the peak value of infrasound signals generated during desorption experiments is correlated positively with the initial pressure; while, the dominant frequency of infrasound signals is influenced by the proportion of intergranular pores and fractures within the experimental vessel. To further validate the theory of subsonic generation, a mathematical model describing pressure oscillations within intergranular pores, thereby explaining the mechanism of subsonic tremors, was established. The model confirms that the generation and characteristics of infrasound signals are controlled by the parameters of intergranular pores in coal samples. The model effectively simulates changes in the characteristics of infrasound signal tremors during desorption under different conditions, confirming that the physical properties of intergranular pores are crucial factors influencing the generation of infrasound signals and their characteristics during coal and gas desorption.

煤和天然气的解吸作为天然气能量释放的一种主要形式，是触发煤和天然气爆发的关键因素。因此，研究煤和瓦斯解吸过程中的物理特性对于理解煤和瓦斯突出的发展过程至关重要。基于煤颗粒气体解吸过程中的气体动力学，建立了气体解吸与次声信号之间的联系，阐述了煤颗粒气体解吸过程中次声信号的产生机理，并通过实验数据验证了该理论的可行性，从而证明了煤颗粒气体解吸过程中亚音速震颤的自发发生。结合观测数据，发现解吸实验过程中产生的次声信号峰值与初始压力呈正相关;而次声信号的主导频率受实验血管内晶间孔隙和裂缝比例的影响。为了进一步验证亚音速产生的理论，建立了一个描述晶间孔内压力振荡的数学模型，从而解释了亚音速震颤的机制。该模型证实了次声信号的产生和特性受煤样晶间孔参数的控制。该模型有效地模拟了不同条件下脱附过程中次声信号震颤特性的变化，证实了晶间孔的物理性质是影响煤气脱附过程中次声信号产生的关键因素及其特性。