循环荷载下损伤煤体声发射分形特征及破坏前兆

Acoustic emission fractal characteristics and failure precursors of damaged coal under cyclic loading

  • 摘要: 煤体在复杂应力环境和采动扰动作用下极易形成初始损伤,而初始损伤对煤体裂纹扩展及失稳破坏过程存在显著影响。为了探讨循环荷载下损伤煤体声发射多参数演化及破坏前兆特征,开展不同初始损伤程度煤样的三轴循环加卸载试验,结合声发射系统实时监测煤样内部裂纹扩展过程,并利用CT扫描技术获取煤样破坏后裂纹三维空间分布特征。结果表明:初始损伤越严重,损伤煤样峰值偏应力越低,在低应力阶段便会触发更多声发射信号,临近破坏时低频高能信号更为明显。基于CT扫描的裂纹占比和分形维数均呈增加趋势,进一步表明损伤煤样破坏后内部裂纹规模和复杂程度显著增加。此外,损伤煤样声发射能量分布服从幂律特征,表明其裂纹扩展过程具有自组织临界性与自相似性特征。且初始损伤的存在增加了损伤煤样内部声发射高能信号发生的可能性。同时,声发射能量时间序列的分形维数随初始损伤程度增大而上升,表明裂纹扩展过程更为复杂和无序。基于声发射多参数演化特征,发现累积振铃计数、累积能量以及b值、S值和熵值在煤样临近破坏时出现显著异常。累积振铃计数、累积能量多在98%~99%的峰值应力时间段出现前兆突变;b值、S值与熵值的异常则往往更早,平均前兆时刻分别为峰值应力对应时间的89.46%、95.43%和92.12%。研究结果不仅揭示了损伤煤体失稳破坏的前兆特征,也为煤岩动力灾害防控提供了理论依据。

     

    Abstract: Coal is highly susceptible to initial damage under complex stress conditions and mining-induced disturbances, and its fracture propagation and unstable failure processes are significantly affected by such damage. To investigate the multi-parameter evolution of acoustic emission and the failure precursors of damaged coal under cyclic loading, triaxial cyclic loading-unloading tests are conducted on coal specimens with different initial damage degrees. The internal fracture propagation process is monitored in real time using an AE system, and the three-dimensional spatial distribution of fractures in the failed specimens is obtained through computed tomography scanning. The results indicate that a higher initial damage degree results in a lower peak deviatoric stress. More AE signals are triggered during the low-stress stage, and low-frequency, high-energy signals become more pronounced as failure approaches. Both the fracture volume fraction and fractal dimension obtained from CT scanning exhibit increasing trends, further demonstrating that the scale and complexity of internal fractures increase significantly after the failure of damaged coal specimens. In addition, the AE energy distribution of damaged coal follows a power-law distribution, indicating that the fracture propagation process exhibits self-organized criticality and self-similarity. The probability of high-energy AE events is also increased by the presence of initial damage. Meanwhile, the fractal dimension of the AE energy time series increases with increasing initial damage degree, indicating that the fracture propagation process becomes more complex and disordered. Based on the multi-parameter evolution characteristics of AE, significant anomalies in the cumulative ringing count, cumulative energy, b value, S value, and entropy are identified as the coal specimens approach failure. Precursor mutations in the cumulative ringing count and cumulative energy generally occur at approximately 98%−99% of the time to peak stress. In contrast, anomalies in the b value, S value, and entropy generally occur earlier, with average precursor times of 89.46%, 95.43%, and 92.12% of the time to peak stress, respectively. These findings not only reveal the failure precursors of damaged coal but also provide a theoretical basis for the prevention and control of coal and rock dynamic disasters.

     

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