通过多源声学特征识别脆性骨折过程中的灾难性故障的实验研究
Chao Guo1, Riwei Guo2, Miao Guo2
1School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China; Key Laboratory of Ministry for Efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing 10083, China.
Ultrasonics
|September 9, 2025
概括
预测易碎岩石断裂是预防危险的关键. 这项研究使用超声波和声波发射 (AE) 事件来识别即将发生的灾难性故障,为早期预警系统提供见解.
科学领域:
- 地质技术工程 地质技术工程
- 岩石力学 岩石力学 岩石力学
- 声学 声学 在声学方面
背景情况:
- 易碎岩石的灾难性故障在工程中构成重大风险.
- 对动态岩石危险的预警系统需要准确的故障预测方法.
研究的目的:
- 用超声波和声辐射 (AE) 事件来描述有缺陷的砂岩中的脆性故障.
- 开发一种方法来识别灾难性失败的前兆期.
主要方法:
- 使用了超声波传播参数 (峰幅,速度,DAAT) 和AE事件数据.
- 开发了一个滑动事件窗口方法来计算AE事件的时间b值.
- 根据时间b值变化和分析与超声波参数的相关性,定义了前体期候选物 (PPC).
主要成果:
- 时间b值有效地表明了微裂的生长.
- 差异声衰减期 (DAAT) 在前体期显示出明显的变化.
- 增加的DAAT和特定的时间b值模式的组合确定了即将发生的故障.
结论:
- 多源声学特征,特别是DAAT和时间b值,可以预测灾难性的脆岩断裂.
- 这些发现为防止动态岩石灾害的早期预警系统提供了理论基础.
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