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Asperity degradation characteristics of soft rock-like fractures under shearing based on acoustic emission monitoring

机译:基于声发射监测的剪切下软岩状骨折的粗糙度降解特征

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Shear failure of rock masses along pre-existing discontinuities is one of the predominant failure modes of rock slopes and underground tunnels. The monitoring and prediction of the impending shear failure is of great significance to ensure the stability of the rock structures and the safety of the workers. In this study, direct shear tests under normal stress ranging from 0.5 to 10 MPa are conducted on rock fractures (analogous to soft rock discontinuities), which are obtained by artificial splitting, during which the AE parameters are monitored. Test results show that the AE parameters (hit, energy and events) increase with the shear stress, and peak at or near the peak shear strength, after which the AEs gradually decay with the decrease of shear stress. The number of AE events first increases and then decreases with increasing normal stress, which may be associated with the ductile deformation of the porous structure of cement mortar under higher normal stress. The degradation of asperities on the fracture surface can be inferred from the accumulative AE hits and events, which are characterized by "S" shapes and can be divided into slow growth, fast growth and slow growth stages. Conceptual and mathematical asperity damage models are proposed respectively based on the temporal characteristics of AE events and the curve fitting, which can be used to predict the asperity damage for a given shear stress curve. The AE b-value fluctuates and remains high in the shear process. There is no strong correlation between the shear stress and the b-value, which indicates that the b-value may not be an effective index to predict the quasi-static shear failure of jointed rock masses possessing similar properties like cement mortar. Results of this study will not only contribute to a better understanding of the asperity degradation characteristics but also provide valuable knowledge for AE monitoring applications in jointed rock masses.
机译:沿着现有的不连续的岩石群落的剪切失效是岩石斜坡和地下隧道的主要失效模式之一。即将剪切故障的监测和预测具有重要意义,以确保岩石结构的稳定性和工人的安全性。在该研究中,在0.5至10MPa的正常应力下的直接剪切测试在通过人工分裂获得的岩石骨折(类似于软岩不连续)上进行,在此期间监测AE参数。测试结果表明,AE参数(命中,能量和事件)随着剪切应力而增加,并且在峰值剪切强度处或附近的峰值,之后,AES逐渐随着剪切应力的降低而衰减。 AE事件的数量首先增加,然后随着正常应力的增加而降低,这可以与在较高正常应力下的水泥砂浆的多孔结构的延展结构相关联。可以从累积AE的命中和事件中推断出骨折表面上的粗糙度的降解,其特征在于“S”形状,并且可以分为缓慢的生长,快速生长和缓慢的生长阶段。基于AE事件的时间特征和曲线配件的时间特征,提出了概念和数学粗糙损伤模型,其可用于预测给定剪切应力曲线的粗糙损坏。 AE B值波动并在剪切过程中保持高度。剪切应力和B值之间没有强烈的相关性,这表明B值可能不是有效指标,以预测具有与水泥砂浆等类似性质的关节岩体的准静态剪切失效。该研究的结果不仅有助于更好地理解令人抑制的劣化特征,而且还为关节岩体的AE监测应用提供了有价值的知识。

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