期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
一种基于波形包络趋势变化的AE信号到时拾取方法
1
作者 谢学斌 叶永飞 +2 位作者 高山 刘涛 王小平 《矿冶工程》 CAS CSCD 北大核心 2021年第3期6-10,共5页
为摆脱参数设置对到时拾取算法准确性和适应性的影响,依据波形的起伏特征提出一种无需事先设置参数的到时拾取方法,该方法以信号包络线趋势变化为依据,首先通过功率谱密度图确定包络线的隐周期,然后通过STL分解获得包络线趋势变化曲线,... 为摆脱参数设置对到时拾取算法准确性和适应性的影响,依据波形的起伏特征提出一种无需事先设置参数的到时拾取方法,该方法以信号包络线趋势变化为依据,首先通过功率谱密度图确定包络线的隐周期,然后通过STL分解获得包络线趋势变化曲线,最后根据MK突变检测自动确定AE信号到时。仿真试验结果表明,在不同强度和不同频率的背景噪音环境下使用本文方法均表现出较高的拾取性能,而应用较多的STA/LTA法在拾取性能上明显表现出对参数设置的依赖。在广西盘龙铅锌矿地压监控实测信号中的应用结果表明,本文方法能准确判别监测信号中有无声发射并准确拾取到时。该方法为矿山地压实测信号的到时拾取提供了一种新的思路。 展开更多
关键词 信号监测 到时拾取 岩石ae信号 包络线 STL分解 MK突变检测
下载PDF
Macro and meso characteristics evolution on shear behavior of rock joints 被引量:1
2
作者 李凯辉 曹平 +1 位作者 张科 钟涌芳 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第8期3087-3096,共10页
Direct shear tests were conducted on the rock joints under constant normal load(CNL), while the acoustic emission(AE) signals generated during shear tests were monitored with PAC Micro-II system. Before and after shea... Direct shear tests were conducted on the rock joints under constant normal load(CNL), while the acoustic emission(AE) signals generated during shear tests were monitored with PAC Micro-II system. Before and after shearing, the surfaces of rock joints were measured by the Talysurf CLI 2000. By correlating the AE events with the shear stress-shear displacement curve, one can observe four periods of the whole course of shearing of rock joints. By the contrast of AE location and actual damage zone, it is elucidated that the AE event is related to the morphology of the joint. With the increase of shearing times, the shear behavior of rock joints gradually presents from the response of brittle behavior to that of ductile behavior. By combining the results of topography measurement, four morphological parameters of joint surface, S p(the maximum height of joint surface), N(number of islands), A(projection area) and V(volume of joint) were introduced, which decrease with shearing. Both the joint roughness coefficient(JRC) and joint matching coefficient(JMC) drop with shearing, and the shear strength of rock joints can be predicted by the JRC-JMC model. It establishes the relationship between micro-topography and macroscopic strength, which have the same change rule with shearing. 展开更多
关键词 rock joint shear behavior surface morphology acoustic emission joint roughness coefficient (JRC) joint matchingcoefficient (JMC)
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部