岩石各向异性波速三维全方位表征方法与声发射定位优化

Three-dimensional omnidirectional characterization methods of rock anisotropic wave velocity and acoustic emission location optimization

  • 摘要: 为了探究岩石波速各向异性特征及其对声发射定位精度的影响,开展了大理岩与粉砂岩单轴压缩试验. 单轴压缩过程中,大理岩几乎完全处于弹性阶段,平均波速保持基本不变,水平波速始终大于斜纵向波速,说明初始状态下纵向裂隙较少. 粉砂岩在压密阶段,水平、斜纵向及平均波速均呈现增加趋势;在弹性阶段,水平波速及平均波速缓慢下降,说明该阶段岩石在纵向上已出现微小裂隙;在损伤阶段,水平、斜纵向与平均波速的快速减小表明裂隙已贯通. 根据岩石不同方向波速演化特征提出了基于罗德里格矩阵的岩石各向异性波速三维椭球体表征方法,通过统计椭球体长轴与真实裂纹分布方位角,大理岩和粉砂岩波速椭球体77%以上的长轴方位角与裂纹方位角分布一致,说明该方法可应用于裂纹扩展预测. 同时提出了结合各项异性波速演化特征的声发射定位方法,通过断铅试验确定该方法平均误差在大理岩中为1.89 mm,在粉砂岩中为2.76 mm. 粉砂岩的定位误差大于大理岩,主要因为粉砂岩孔隙率较大、波速变化不稳定性强以及波速的各向异性更为严重. 在两种岩石中本文方法相较于传统单纯形法和Geiger方法定位精度均提高了58%以上,验证了该定位方法的准确性.

     

    Abstract: Rock failure and instability have been key research topics in rock mechanics domestically and internationally. Numerous geotechnical disasters, such as rock bursts and slope instability, are associated with these phenomena. Acoustic emission detection is recognized as an effective method for monitoring rock failure and instability processes. Uniaxial compression tests were carried out on marble and siltstone to investigate the anisotropic characteristics of rock wave velocity and their influence on the accuracy of acoustic emission location. Prior to reaching the peak, marble remains predominantly in the elastic stage, with the average wave velocity remaining nearly constant. The horizontal wave velocity is consistently higher than the oblique longitudinal wave velocity, indicating fewer longitudinal cracks in the initial state. In the compaction stage of siltstone, horizontal, oblique longitudinal, and average wave velocity show an increasing trend. During the elastic stage, the horizontal and average wave velocities decrease slowly, indicating the presence of small longitudinal fractures. In the damage stage, the horizontal, oblique longitudinal and average wave velocities decrease rapidly, signifying that the fractures have propagated. A 3D ellipsoid characterization method for rock anisotropic wave velocity using the Rodrigues matrix is proposed in accordance with the characteristics of rock wave velocity evolution in different directions. The long axis of the ellipsoid represents the maximum wave velocity within the rock, whereas the short axis reflects the minimum wave velocity. During the compression of marble, the maximum and minimum wave velocities in various directions remain relatively stable until the peak stress is reached. By contrast, for siltstone, the maximum wave velocity increases during the compaction phase, whereas the minimum wave velocity remains constant. In the damage stage, the minimum wave velocity decreases due to rock damage and crack formation, whereas the maximum wave velocity remains unaffected. The statistical results indicate that the azimuth of the wave velocity ellipsoid for marble and siltstone is over 77% consistent with the crack azimuth. This finding suggests that the method can effectively predict crack propagation. In addition, an acoustic emission location method that incorporates the anisotropic wave velocity evolution characteristics is proposed. The average error of the proposed method is determined to be 1.89 mm for marble and 2.76 mm for siltstone, as measured by the lead breaking test. The location error for siltstone is greater than that for marble due to three primary reasons. First, siltstone exhibits high porosity, resulting in unstable and noisy acoustic emission signals, which complicate the extraction of the received signals. Second, the wave velocity of siltstone varies at different stages, displaying distinct changing trends and significant amplitude fluctuations. Lastly, siltstone demonstrates stronger wave velocity anisotropy, with inconsistent variation trends observed across different stages. Compared with traditional simplex and Geiger methods, the positioning accuracy of the proposed method improves by more than 58% in both rock types, validating the effectiveness of the proposed location method. In addition, this method is applicable to microseismic positioning, offering a more accurate solution for monitoring and early warning in geotechnical engineering disasters.

     

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