| 岩石破裂声发射关键特征信号优选方法 |
| |
| 引用本文： | 姚旭龙,张艳博,刘祥鑫,梁鹏,孙林.岩石破裂声发射关键特征信号优选方法[J].岩土力学,2018,39(1):375-384. |
| |
| 作者姓名： | 姚旭龙 张艳博 刘祥鑫 梁鹏 孙林 |
| |
| 作者单位： | 1. 华北理工大学 矿业工程学院，河北 唐山 063210；2. 华北理工大学 河北省矿业开发与安全技术重点实验室，河北 唐山 063210 |
| |
| 基金项目： | 国家自然科学基金资助项目(No. 51574102, No.51604117)；河北省高校百名优秀创新人才支持计划(No. SLRC2017050)。 |
| |
| 摘 要： | 岩石破裂过程的声发射中大量的低能常规信号易将少量的高能关键信号特征规律淹没，不利于前兆特征分析和灾变预警。从岩石破裂失稳预警角度出发，以提取影响岩石结构稳定的关键破裂事件声发射信号为目标，提出了岩石破裂失稳关键特征信号的识别准则及其定义。构建了基于信号能量贡献率的岩石破裂关键事件声发射信号的优选方法，并针对花岗岩、大理岩、煤岩和粉砂岩进行了岩石破坏失稳的声发射监测试验验证。试验结果表明，新方法能有效提取岩石破裂过程中影响岩石整体稳定的关键声发射信号，具有一定的普适性。着重从声发射事件率突降、相对平静期和累计能量急升跃阶等前兆特征对优选后岩石破裂关键特征信号进行了一致性检验。检验结果表明，优选后的关键特征信号与上述前兆特征高度一致，并能够有效地提高后期声发射特征参数计算效率，方法有效可行。
|
| 关 键 词： | 岩石破裂失稳 声发射 前兆特征 信号优选方法 |
| 收稿时间： | 2017-05-10 |
Optimization method for key characteristic signal of acoustic emission in rock fracture |
| |
| YAO Xu-long,ZHANG Yan-bo,LIU Xiang-xin,LIANG Peng,SUN Lin.Optimization method for key characteristic signal of acoustic emission in rock fracture[J].Rock and Soil Mechanics,2018,39(1):375-384. |
| |
| Authors: | YAO Xu-long ZHANG Yan-bo LIU Xiang-xin LIANG Peng SUN Lin |
| |
| Institution: | 1. College of Mining Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China; 2. Hebei Provincial Laboratory of Mining Industry Development with Safe Technology Priority, North China University of Science and Technology Tangshan, Hebei 063210, China |
| |
| Abstract: | In the process of rock failure, a large number of low energy weak acoustic emission signals are easy to conceal the characteristics of a few high energy key signals, which is not conducive to the analysis of precursory characteristics and disaster warning. From the rock crack and destabilization warning point of view, this paper is aimed at optimum seeking of precursory key characteristic signals of acoustic emission in rock crack and destabilization, and puts forward the identification criterion and definition of key acoustic emission precursory signals of rock fracture. A new optimum seeking method for the key feature signal is proposed based on signal energy contribution rate, and the method is verified by experiments with granite, marble, coal and siltite. Experimental results show that the proposed method can effectively extract key acoustic emission signals which affect the overall stability of rock in the process of rock fracture, and this method can be applied in a wide range of applications. We also focus on the consistency test of the characteristic signals of the selected critical events from the precursory characteristics of the acoustic emission event rate, the relative quiet period, and the cumulative energy jump. The consistency test results show that the key feature signals after optimization are highly consistent with the precursory characteristics, and can effectively improve the calculation efficiency of acoustic emission characteristic parameters in late stage, and the method is feasible and effective. |
| |
| Keywords: | rock crack and destabilization acoustic emission precursory characteristic optimum seeking for signals |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《岩土力学》浏览原始摘要信息 |
| 点击此处可从《岩土力学》下载免费的PDF全文 |
|
