›› 2018, Vol. 39 ›› Issue (1): 375-384.doi: 10.16285/j.rsm.2017.0931

• Testing Technology • Previous Articles     Next Articles

Optimization method for key characteristic signal of acoustic emission in rock fracture

YAO Xu-long1, 2, ZHANG Yan-bo1, 2, LIU Xiang-xin1, 2, LIANG Peng1, 2, SUN Lin1, 2   

  1. 1. College of Mining Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China; 2. Hebei Provincial Laboratory of Mining Industry Development with Safe Technology Priority, North China University of Science and Technology Tangshan, Hebei 063210, China
  • Received:2017-05-10 Online:2018-01-10 Published:2018-06-06
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (51574102, 51604117) and Hebei Province Colleges Hundred Outstanding Innovative Talent Support Program (SLRC2017050).

Abstract: In the process of rock failure, a large number of low energy weak acoustic emission signals are easy to conceal the characteristics of a few high energy key signals, which is not conducive to the analysis of precursory characteristics and disaster warning. From the rock crack and destabilization warning point of view, this paper is aimed at optimum seeking of precursory key characteristic signals of acoustic emission in rock crack and destabilization, and puts forward the identification criterion and definition of key acoustic emission precursory signals of rock fracture. A new optimum seeking method for the key feature signal is proposed based on signal energy contribution rate, and the method is verified by experiments with granite, marble, coal and siltite. Experimental results show that the proposed method can effectively extract key acoustic emission signals which affect the overall stability of rock in the process of rock fracture, and this method can be applied in a wide range of applications. We also focus on the consistency test of the characteristic signals of the selected critical events from the precursory characteristics of the acoustic emission event rate, the relative quiet period, and the cumulative energy jump. The consistency test results show that the key feature signals after optimization are highly consistent with the precursory characteristics, and can effectively improve the calculation efficiency of acoustic emission characteristic parameters in late stage, and the method is feasible and effective.

Key words: rock crack and destabilization, acoustic emission, precursory characteristic, optimum seeking for signals

CLC Number: 

  • TU 452

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