一个基于差异的拟议算法,以有效估计固体中的裂源定位
Young-Chul Choi1, Byunyoung Chung1, Doyun Jung1
1Korea Atomic Energy Research Institute (KAERI), 989-111 Daedeok-daero, Yuseong, Daejeon 305-353, Republic of Korea.
这项研究引入了一种新的算法,可以使用声学排放 (AEs) 精确识别岩石损伤. 该方法有效地识别裂纹波,即使信号噪声比低,也能有效地识别裂纹波,从而实现精确的非破坏性损伤定位.
科学领域:
- 地质物理学 地质物理学
- 材料科学 材料科学 材料科学
- 非破坏性测试 不破坏性测试
背景情况:
- 声波排放 (Acoustic Emissions,简称AEs) 是物质损坏产生的弹性波,对于分析裂纹和脱位运动至关重要.
- 使用AE传感器进行非破坏性损伤定位仍然是固体材料中的重大挑战.
研究的目的:
- 开发一个算法来准确地确定裂纹波到达时间.
- 在岩石材料中识别低信号噪声比 (SNR) 的裂纹波.
- 为了能够精确地,非破坏性地定位物质损坏的来源.
主要方法:
- 利用裂纹波和噪声在移动窗口中的不同差异特征.
- 在潜在的真实和虚拟位置分析裂纹波速度的方差.
- 在岩石样本上进行笔断测试,以验证算法.
主要成果:
- 成功地确定了裂纹波的波到达时间,即使是低SNR.
- 通过找到最小偏差点,准确确定裂纹源的位置.
- 在现实世界的岩石样本中证明了算法的有效性.
结论:
- 拟议的算法准确地确定裂纹波到达时间和源位置.
- 这种方法提供了一个有前途的工具,用于实时评估和监测地下结构的损害.
- 加强了地质和土木工程应用的非破坏性测试能力.
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