基于声发射技术对干燥、饱水砂岩破坏前兆特征研究

    RESEARCH ON THE PRECURSOR CHARACTERISTICS OF DAMAGE IN DRY AND SATURATED SANDSTONE BASED ON ACOUSTIC EMISSION TECHNOLOGY

    • 摘要: 为探究单轴压缩下干燥、饱水砂岩的破坏前兆信息,开展干燥、饱水砂岩的单轴压缩及声发射试验。分别从声发射b值、主频、主频熵值、振铃计数、多重分形参数特征5个角度进行研究。5种方法均表现出明显的破坏前兆特征:声发射b值大幅度降低,小于1.1的信号大量出现;低幅值主频段各等级主频带明显变宽,并伴随着高幅值低主频声发射信号的出现;主频熵值的突然大幅度上升;高振铃计数的声发射信号高频涌现;多重分形特征参数Δα、Δα0分别发生,突然大幅度上升和下降。5种方法所识别的破坏前兆响应系数(DPRC),均表现为干燥岩样的DPRC大于饱水岩样,饱水岩样的破坏前兆会延迟于干燥岩样。主频熵值相对于其他识别方法,表现出较好的稳定性。干燥、饱水砂岩不同破坏前兆识别方法的皮尔逊相关系数中位数和平均值的由大到小的顺序为:Δα>Δα0>b值>熵值,因此可将多重分形谱参数Δα、Δα0作为主要判别依据,声发射b值和熵值作为辅助判别依据,为水-岩耦合环境下的岩体稳定性监测提供理论支撑与技术路径。

       

      Abstract: To investigate damage precursor characteristics in dry and water-saturated sandstone under uniaxial compression, uniaxial compression tests combined with acoustic emission (AE) monitoring were conducted. The analysis focused on five aspects: AE b-value, dominant frequency, dominant frequency entropy, ring-down counts, and multifractal parameters. All five methods revealed clear damage precursor signatures: the AE b-value decreased significantly, with a large number of signals below 1.1 appearing; the dominant frequency bands of low-amplitude signals broadened noticeably, accompanied by the emergence of high-amplitude, low-frequency AE signals; the dominant frequency entropy increased abruptly and sharply; AE signals with high ring-down counts appeared frequently; and the multifractal parameters Δα and Δα0 exhibited sudden large increases and decreases, respectively. The damage precursor response coefficients (DPRC) derived from these methods indicated that dry specimens showed higher DPRC values than saturated specimens, and damage precursors in saturated specimens appeared later than in dry specimens. The dominant frequency entropy demonstrated better stability compared to other identification methods. The median and mean values of Pearson's correlation coefficients for different damage precursor identification methods in dry and saturated sandstone followed the order:Δα > Δα0 > b-value > entropy-value. Therefore, the multifractal parameters Δα and Δα0 can serve as primary indicators, while the AE b-value and entropy value can be used as supplementary criteria. These findings provide theoretical support and a technical framework for monitoring rock stability in water-bearing environments.

       

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