›› 2010, Vol. 31 ›› Issue (6): 1913-1918.

• Geotechnical Engineering • Previous Articles     Next Articles

Research on identification characteristics of Kaiser signal of sandstone

WANG Geng-feng1，ZHANG Yong-xing1，ZHAO Kui2   

  1. 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
  • Received:2009-01-12 Online:2010-06-10 Published:2010-06-25

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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.

Key words: acoustic emission, frequency spectrum characteristic, energy spectrum coefficient, chaos, largest Laypunov exponent

CLC Number: 

  • TU 454
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