(1. College of Science,Qingdao Technological University,Qingdao,Shandong 266033,China;2. Co-operative Innovation Center of Engineering Construction and Safety in Shandong Peninsula Blue Economic Zone,Qingdao Technological University,Qingdao,Shandong 266033,China)
Abstract:The extreme-point symmetric mode decomposition method was used to denoise the acoustic emission data of marble during unloading confining pressure failure process. The characteristics of acoustic emission were analyzed. Acoustic ringing counts rate level is small and grows slowly at the initial stage and increases rapidly after the expansion point. The acoustic emission frequency trends to fluctuate. It increases suddenly before peak strength and decreases significantly near the peak strength. The fractal dimension of acoustic emission was calculated by the method of correlation dimension algorithm. The fractal dimension of acoustic emission presents a phase change during marble during unloading confining pressure failure process. It increases at the initial stage and then decreases. The fractal dimension increases sharply when the axial stress reaches to 80% of the peak strength. It decreases significantly before the peak strength. There is relation between the frequency spectrum and the fractal dimension. The sudden rise of the acoustic emission frequency and the fractal dimension are failure precursor.
何建平,王 宁. 用AE时序参数特征预测岩体失稳的研究[J]. 矿业安全与环保,2007,34(1):17-19.(HE Jianping,WANG Ning. Study of AE characteristics predict the timing parameters of rock instability[J]. Mining Safety and Environmental Protection,2007,34(1):17-19.(in Chinese))
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