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砂岩Kaiser点信号识别特征研究
引用本文:王更峰,张永兴,赵奎.砂岩Kaiser点信号识别特征研究[J].岩土力学,2010,31(6):1913-1918.
作者姓名:王更峰  张永兴  赵奎
作者单位:1. 重庆大学 土木工程学院,重庆 400045;2. 江西理工大学 建筑与测绘工程学院,江西 赣州 341000
摘    要:对岩石试件加载及破坏过程进行了声发射试验,根据参数分析法得到Kaiser点。采用FFT研究了Kaiser点信号的频谱特征。运用小波包分析方法,计算了Kaiser点信号的能谱系数。用混沌时序分析方法研究Kaiser点信号,运用关联积分法方法提取关联维数D,综合FNN法和互信息法得到合适的m、? 值重构相空间,计算Kaiser点信号的最大Lyapunov指数,研究声发射信号混沌动力特征。结果表明,Kaiser点信号具有混沌特征。

关 键 词:声发射  频谱特征  能谱系数  混沌  最大Lyapunov指数  
收稿时间:2009-01-12

Research on identification characteristics of Kaiser signal of sandstone
WANG Geng-feng,ZHANG Yong-xing,ZHAO Kui.Research on identification characteristics of Kaiser signal of sandstone[J].Rock and Soil Mechanics,2010,31(6):1913-1918.
Authors:WANG Geng-feng  ZHANG Yong-xing  ZHAO Kui
Institution:1. College of Civil Engineering, Chongqing University, Chongqing 400045, China; 2. Faculty of Architectural and Surveying Engineering, Jiangxi Univesity of Science and Technology, Ganzhou, Jiangxi 341000, China
Abstract:Acoustic emission in sandstone specimens are tested under loading and breakage, Kaiser point is determined by parameter analysis method. The frequency spectrum characteristics of Kaiser point signal are obtained by using the fast Fourier transform(FFT). The energy spectrum coefficients of Kaiser point signal are calculated by means of wavelet packet analysis method. The Kaiser point signals are studied by applying the chaotic time series analysis method, and correlation integral method is used to gain correlation dimension D; then the maximum Lyapunov exponent is calculated by reconstructing phase space with adaptable parameters m, ? that are obtained through the false nearest neighbors(FNN) method and mutual information method. The results show that the Kaiser point signals have chaotic characteristics.
Keywords:acoustic emission  frequency spectrum characteristic  energy spectrum coefficient  chaos  largest Laypunov exponent
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