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岩石声发射信号能量分布特征的EMD分析
引用本文:凌同华,张胜,易志强,李品钰. 岩石声发射信号能量分布特征的EMD分析[J]. 振动与冲击, 2012, 31(11): 26-31. DOI:  
作者姓名:凌同华  张胜  易志强  李品钰
作者单位:长沙理工大学 土木与建筑学院, 长沙 410004
基金项目:国家自然科学基金资助项目(50678028,51078043)
摘    要:冲击荷载作用下岩石声发射信号具有瞬态性和多样性的特点,属于典型的非平稳信号。利用EMD方法对岩石声发射信号进行分解,得到一系列具有不同特征时间尺度的IMF分量,对每一个平稳的IMF分量提取能量特征。分析结果表明:冲击荷载作用下岩石声发射信号能量主要分布在前4个IMF分量内,且分布不均匀;岩石声发射信号各IMF分量的频谱与原始信号的频谱基本一致;随着岩石的密度、纵波波速、弹性模量的降低,冲击荷载作用下岩石声发射信号的优势频率越来越集中,且其优势频率有往低频发展的趋势;相比小波包分析,EMD分析法对于非平稳信号而言更具适应性。

关 键 词:SHPB试验   冲击荷载   岩石声发射信号   能量分布特征   EMD分析 
收稿时间:2011-03-30
修稿时间:2011-06-03

Energy distribution characteristics of rock acoustic emission signals with EMD analysis
LING Tong-hua,ZHANG Sheng,YI Zhi-qiang,LI Pin-yu. Energy distribution characteristics of rock acoustic emission signals with EMD analysis[J]. Journal of Vibration and Shock, 2012, 31(11): 26-31. DOI:  
Authors:LING Tong-hua  ZHANG Sheng  YI Zhi-qiang  LI Pin-yu
Affiliation:School of Civil Engineering and Architecture, Changsha University of Science and Technology, Changsha 410004, China
Abstract:Rock acoustic emission signals have transient property and diversity under impact loading,which belong to a typical non-stationary signal.EMD method was used to decompose a rock acoustic emission signal into a number of IMF components with different characteristic time scales and then the energy characteristic of each stationary IMF component was extracted.The test results showed that the energy of a rock acoustic emission signal mainly distributes in the first four IMF components,and distributes unevenly;the frequency spectrum of each IMF component agrees well with the original signal frequency spectrum;if density of rock,speed of longitudinal wave and its elastic modulus decrease,the dominant frequencies of the rock acoustic emission signal under impact loading become more concentrated and tend to be lower;compared with wavelet packet analysis,EMD analysis is more suitable for non-stationary signals.
Keywords:SHPB experiment  impact loading  rock acoustic emission signals  energy distribution characteristics  EMD analysis
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