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首页> 外文期刊>Rock Mechanics and Rock Engineering >Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals
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Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals

机译:通过声发射信号的参数分析检测脆性岩石中的裂纹水平

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摘要

Determination of the cracking levels during the crack propagation is one of the key challenges in the field of fracture mechanics of rocks. Acoustic emission (AE) is a technique that has been used to detect cracks as they occur across the specimen. Parametric analysis of AE signals and correlating these parameters (e.g., hits and energy) to stress-strain plots of rocks let us detect cracking levels properly. The number of AE hits is related to the number of cracks, and the AE energy is related to magnitude of the cracking event. For a full understanding of the fracture process in brittle rocks, prismatic specimens of granite containing pre-existing flaws have been tested in uniaxial compression tests, and their cracking process was monitored with both AE and high-speed video imaging. In this paper, the characteristics of the AE parameters and the evolution of cracking sequences are analyzed for every cracking level. Based on micro- and macro-crack damage, a classification of cracking levels is introduced. This classification contains eight stages (1) crack closure, (2) linear elastic deformation, (3) micro-crack initiation (white patch initiation), (4) micro-crack growth (stable crack growth), (5) micro-crack coalescence (macro-crack initiation), (6) macro-crack growth (unstable crack growth), (7) macro-crack coalescence and (8) failure.
机译:裂纹扩展过程中裂纹水平的确定是岩石断裂力学领域的关键挑战之一。声发射(AE)是一种用于检测裂纹在整个样本中发生的技术。 AE信号的参数分析以及将这些参数(例如,碰撞和能量)与岩石的应力-应变图相关联,使我们能够正确地检测开裂程度。 AE命中数与裂纹数有关,而AE能量与裂纹事件的大小有关。为了全面了解脆性岩石的破裂过程,已经在单轴压缩测试中测试了包含预先存在缺陷的花岗岩棱柱形试样,并使用AE和高速视频成像监控了它们的破裂过程。在本文中,分析了每个裂解水平的AE参数的特征和裂解序列的演变。基于微裂纹和宏观裂纹损伤,介绍了裂纹级别的分类。此分类包含八个阶段(1)裂纹闭合,(2)线性弹性变形,(3)微裂纹萌生(白色斑块的萌生),(4)微裂纹萌生(稳定的裂纹增长),(5)微裂纹聚结(宏观裂纹萌生),(6)宏观裂纹增长(不稳定裂纹增长),(7)宏观裂纹融合和(8)破坏。

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