Features of acoustic emission at various influences on rock samples

2008 ◽  
Vol 123 (5) ◽  
pp. 3290-3290 ◽  
Author(s):  
Alexander S. Voznesenskiy ◽  
Sergey V. Viljamov
Keyword(s):  
Acoustic Emission ◽  
Rock Samples

Investigation of acoustic emission accompanying stick-slip movement of rock samples at different stiffnesses of spring–block system

2011 ◽  
Vol 44 (7-8) ◽  
pp. 811-819 ◽  
Author(s):  
Teimuraz Matcharashvili ◽  
Tamaz Chelidze ◽  
Natalia Zhukova ◽  
Ekaterine Mepharidze
Keyword(s):  
Acoustic Emission ◽  
Stick Slip ◽  
Rock Samples ◽  
Block System

On the stimulation of acoustic emission in rock samples by electromagnetic fields

2011 ◽  
Vol 47 (10) ◽  
pp. 926-936 ◽  
Author(s):  
B. V. Borovskii ◽  
L. M. Bogomolov ◽  
A. S. Zakupin ◽  
V. A. Mubassarova
Keyword(s):  
Acoustic Emission ◽  
Electromagnetic Fields ◽  
Rock Samples ◽  
Stimulation Of

NONLINEAR CHARACTERISTICS OF ACOUSTIC EMISSION DURING THE HEATING PROCESS OF COAL AND ROCK

Fractals ◽  
2018 ◽  
Vol 26 (04) ◽  
pp. 1850046 ◽  
Author(s):  
ZHIBO ZHANG ◽  
ENYUAN WANG ◽  
ENLAI ZHAO ◽  
SHUAI YANG
Keyword(s):  
Acoustic Emission ◽  
Hurst Exponent ◽  
Multifractal Spectrum ◽  
Heating Process ◽  
Nonlinear Characteristics ◽  
Rock Samples ◽  
Spectrum Width ◽  
Multifractal Theory ◽  
Ae Signal ◽  
Temperature Levels

In this paper, acoustic emission (AE) signal of coal and rock samples during the heating process are measured. The results show that AE energy of coal samples is higher than that of rock samples. Based on the multifractal theory, the multifractal characteristics of AE signal are researched. The multifractal spectrum width ([Formula: see text]) of coal samples is wider than that of rock samples, which means AE signal of coal samples is more complex than AE signal of rock samples during the heating process. Multifractal parameter ([Formula: see text]) is more than zero, illustrating that small AE signal is dominate. The time-varying multifractal characteristics are analyzed, and the change trend of multifractal spectrum width ([Formula: see text]) of coal and rock samples is consistent. At the stage of 40–50[Formula: see text]C, multifractal spectrum width ([Formula: see text]) gets the maximum value, whereas multifractal spectrum width ([Formula: see text]) gets the minimum value at the stage of 80–100[Formula: see text]C. For coal samples, multifractal parameter ([Formula: see text] is more than zero except at the stage of 40–50[Formula: see text]C. However, multifractal parameter ([Formula: see text] of rock samples is always more than zero during the entire heating process. By [Formula: see text] analytical method, Hurst exponent of AE signal is calculated. The results show that Hurst exponent of coal and rock samples are more than 0.5, which indicate that AE signal presents persistence, and there is a positive correction between AE signal and temperature. In different temperature levels, Hurst exponent curve presents an increase trend after the initial decrease.

Sign in / Sign up

Export Citation Format

Share Document