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巖石各向異性波速三維全方位表征方法與聲發射定位優化

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

  • 摘要: 為了探究巖石波速各向異性特征及其對聲發射定位精度的影響,開展了大理巖與粉砂巖單軸壓縮試驗. 單軸壓縮過程中,大理巖幾乎完全處于彈性階段,平均波速保持基本不變,水平波速始終大于斜縱向波速,說明初始狀態下縱向裂隙較少. 粉砂巖在壓密階段,水平、斜縱向及平均波速均呈現增加趨勢;在彈性階段,水平波速及平均波速緩慢下降,說明該階段巖石在縱向上已出現微小裂隙;在損傷階段,水平、斜縱向與平均波速的快速減小表明裂隙已貫通. 根據巖石不同方向波速演化特征提出了基于羅德里格矩陣的巖石各向異性波速三維橢球體表征方法,通過統計橢球體長軸與真實裂紋分布方位角,大理巖和粉砂巖波速橢球體77%以上的長軸方位角與裂紋方位角分布一致,說明該方法可應用于裂紋擴展預測. 同時提出了結合各項異性波速演化特征的聲發射定位方法,通過斷鉛試驗確定該方法平均誤差在大理巖中為1.89 mm,在粉砂巖中為2.76 mm. 粉砂巖的定位誤差大于大理巖,主要因為粉砂巖孔隙率較大、波速變化不穩定性強以及波速的各向異性更為嚴重. 在兩種巖石中本文方法相較于傳統單純形法和Geiger方法定位精度均提高了58%以上,驗證了該定位方法的準確性.

     

    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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