2015
DOI: 10.1134/s1069351315030027
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Locating the spatial region of a future fracture nucleation based on analyzing energy distributions of acoustic emission signals

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Cited by 9 publications
(4 citation statements)
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“…We can think of the rock fracture process as a problem of non-equilibrium phase transition from a stationary to an unstable state, and the point of transition between them is called the critical point [ 42 ]. Acoustic emission information not only reflects the mechanical properties of the rocks but also contains information about the progress of internal damage in the rocks.…”
Section: Experimental Results and Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…We can think of the rock fracture process as a problem of non-equilibrium phase transition from a stationary to an unstable state, and the point of transition between them is called the critical point [ 42 ]. Acoustic emission information not only reflects the mechanical properties of the rocks but also contains information about the progress of internal damage in the rocks.…”
Section: Experimental Results and Analysismentioning
confidence: 99%
“…Acoustic emission information not only reflects the mechanical properties of the rocks but also contains information about the progress of internal damage in the rocks. The time instant of the abrupt change in AE events caused by crack propagation and penetration can be considered the critical point of instability of the specimen during the loading process [ 42 , 43 , 44 ]. Among these, the energy of acoustic emission can reflect the energy accumulation and release laws of the sample.…”
Section: Experimental Results and Analysismentioning
confidence: 99%
“…As a result, many methods have been developed to eliminate the influence of noise [29,30], including the most important mean of filtering to separate the concrete cracking signals and other signals, with the purpose of achieving some reliable damage index definitions for the evaluation of damage in a structure. Finally, analysis of processed AE signals mainly involves four techniques: time series analysis [31], spectral characteristics analysis [32,33], spatial positioning analysis [34,35], and waveform analysis [36]. Among them, time series analysis mainly involves characteristic values, such as ring-down count, energy, and amplitude.…”
Section: Introductionmentioning
confidence: 99%
“…One of the problems being solved in seismology is the search for macroscopic characteristics that could be used in monitoring seismically active areas in order to predict earthquakes. The phenomena of seismic quiescence 9 and foreshock activity 10 – 12 , variations of geo-acoustic emission 13 and water level in wells 14 , radon anomaly 15 , alterations of velocities of seismic wave propagation 16 18 , Q-factor of the medium 19 , physical and chemical properties of fluids 20 , and others were considered as earthquake precursors. Some analogues of the above phenomena are regularly observed in laboratory experiments 7 , 21 24 .…”
Section: Introductionmentioning
confidence: 99%