论文部分内容阅读
通过单轴加载煤岩破坏全过程声发射试验,运用多重分形消除趋势波动分析法(MF-DFA),分析了声发射强度序列的长程相关性及多重分形特征,在此基础上研究了不同应力水平下声发射强度序列长程相关指数H的变化趋势。结果表明:声发射强度时间序列内部波动不是完全随机的现象,而是由内在自相似机制决定的长程相关过程,其波动是一个有序的多重分形分布;H的变化与煤岩体的变形破坏过程能够较好的对应,声发射强度H值的“最大—减小”模式可以作为煤岩体失稳事件的前兆,这为利用声发射进行煤岩体稳定性现场监测预报提供了新的理论依据及方法。
Based on the uniaxial loading test of acoustic emission in the whole process of coal-rock failure, MF-DFA was used to analyze the long-range correlation and multifractal characteristics of acoustic emission intensity series. Based on this, The trend of the long-term correlation index H of acoustic emission intensity series at horizontal level. The results show that the internal fluctuation of acoustic emission intensity time series is not a completely random phenomenon, but a long-range correlation process determined by the intrinsic self-similarity mechanism. The fluctuation is an ordered multifractal distribution. The variation of H and the deformation and failure of coal and rock mass Process can better correspond to the “maximum-decrease” mode of acoustic emission intensity H value can be used as a precursor to the instability of coal and rock mass, which provides a new for on-site monitoring and prediction of coal and rock mass stability using acoustic emission The theoretical basis and method.