油页岩单轴压缩声发射演化规律及其破坏前兆特征

郭鹏飞; 邱洋; 邓仕伟; 朱星宇; 王媛媛

doi:10.11988/ckyyb.20221457

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长江科学院院报 ›› 2024, Vol. 41 ›› Issue (4) : 166-173. DOI: 10.11988/ckyyb.20221457

岩土工程

油页岩单轴压缩声发射演化规律及其破坏前兆特征

郭鹏飞^1,2, 邱洋^1,2, 邓仕伟^1,2, 朱星宇^1,2, 王媛媛^1,2

作者信息 +

Acoustic Emission Evolution Law and Failure Precursory Characteristics of Oil Shale under Uniaxial Compression

GUO Peng-fei^1,2, QIU Yang^1,2, DENG Shi-wei^1,2, ZHU Xing-yu^1,2, WANG Yuan-yuan^1,2

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文章历史 +

摘要

为研究油页岩受载破坏过程中有效前兆特征,利用TP耦合气体逸出试验系统对油页岩开展单轴压缩声发射试验,采集岩样破坏全过程产生的声发射信号,分析岩样变形破坏声发射随时间变化规律,对岩样加载破坏过程中声发射特征方差与自相关系数进行深入分析。试验结果表明:试验过程中有明显声发射现象产生,声发射特征变化与岩样变形破坏过程有着良好的对应关系;通过分析声发射R_A(上升时间/峰值幅度)与A_F(平均频率)特征,岩样在试验过程中以张拉破裂为主,后期剪切破裂逐渐增多;声发射特征在临近峰值强度时快速增大,表现出明显的临界慢化现象,方差与自相关系数的突然增大可以作为岩石破坏的前兆特征,且方差的前兆特征信息的捕捉相较于自相关系数更加容易且更为可靠;将声发射b值与声发射特征参数方差结合分析,可以有效剔除试验过程产生的伪信号,方差斜率快速上升阶段出现的b值突降点,可以确定为岩石破坏前兆特征点。研究成果可为岩土工程灾害预警提供可靠依据。

Abstract

To obtain effective precursory characteristics of the failure of oil shale under load, we conducted uniaxial compression acoustic emission (AE) tests on oil shale using a TP coupled gas escape test system. We collected AE signals throughout the entire failure process of rock samples and analyzed the evolution of AE during deformation and failure. Employing the critical slowing down principle, we conducted an in-depth analysis of AE characteristics' variance and autocorrelation coefficient during the loading failure process of rock samples. Test results revealed significant AE phenomena throughout the testing process, with the changes in AE characteristic parameters (energy count, ring count, radiation value) correlating well with rock deformation and failure. Analysis of acoustic emission characteristics RA (rise time/peak amplitude) and AF (average frequency) indicated that the early stages of the test primarily exhibited tensile fracture, transitioning to increased shear fracture in later stages. Near peak intensity, AE characteristic parameters exhibited rapid increases, manifesting a clear critical slowing phenomenon. The sudden rise in variance and autocorrelation coefficient serves as a precursor to rock failure, with variance providing more accessible and reliable precursor information compared to the autocorrelation coefficient. By combining the b value of acoustic emission with variance of AE characteristic parameters, we effectively eliminated false signals generated during testing. The drop point of the b value in the rapid rise stage of variance slope was identified as the precursor feature point of rock failure.

导出引用

郭鹏飞, 邱洋, 邓仕伟, 朱星宇, 王媛媛. 油页岩单轴压缩声发射演化规律及其破坏前兆特征[J]. 长江科学院院报. 2024, 41(4): 166-173 https://doi.org/10.11988/ckyyb.20221457

GUO Peng-fei, QIU Yang, DENG Shi-wei, ZHU Xing-yu, WANG Yuan-yuan. Acoustic Emission Evolution Law and Failure Precursory Characteristics of Oil Shale under Uniaxial Compression[J]. Journal of Changjiang River Scientific Research Institute. 2024, 41(4): 166-173 https://doi.org/10.11988/ckyyb.20221457

中图分类号： TU452

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