Choi Young-Chul, Chung Byunyoung, Jung Doyun
Korea Atomic Energy Research Institute (KAERI), 989-111 Daedeok-daero, Yuseong, Daejeon 305-353, Republic of Korea.
Sensors (Basel). 2024 Sep 20;24(18):6092. doi: 10.3390/s24186092.
Acoustic emissions (AEs) are produced by elastic waves generated by damage in solid materials. AE sensors have been widely used in several fields as a promising tool to analyze damage mechanisms such as cracking, dislocation movement, etc. However, accurately determining the location of damage in solids in a non-destructive manner is still challenging. In this paper, we propose a crack wave arrival time determination algorithm that can identify crack waves with low SNRs (signal-to-noise ratios) generated in rocks. The basic idea is that the variances in the crack wave and noise have different characteristics, depending on the size of the moving window. The results can be used to accurately determine the crack source location. The source location is determined by observing where the variance in the crack wave velocities of the true and imaginary crack location reach a minimum. By performing a pencil lead break test using rock samples, it was confirmed that the proposed method could successfully find wave arrival time and crack localization. The proposed algorithm for source localization can be used for evaluating and monitoring damage in tunnels or other underground facilities in real time.
声发射（AE）是由固体材料中的损伤产生的弹性波引起的。AE传感器作为一种有前途的工具，已广泛应用于多个领域，用于分析诸如裂纹、位错运动等损伤机制。然而，以非破坏性方式准确确定固体中损伤的位置仍然具有挑战性。在本文中，我们提出了一种裂纹波到达时间确定算法，该算法可以识别岩石中产生的低信噪比（信号与噪声比）的裂纹波。其基本思想是，根据移动窗口的大小，裂纹波和噪声中的方差具有不同的特征。结果可用于准确确定裂纹源位置。通过观察真实和虚拟裂纹位置的裂纹波速度方差在何处达到最小值来确定源位置。通过对岩石样品进行铅笔芯折断试验，证实了所提出的方法能够成功找到波的到达时间和裂纹定位。所提出的源定位算法可用于实时评估和监测隧道或其他地下设施中的损伤。
