Application of autocorrelation analysis for interpreting acoustic emission in rock

The statistical properties of acoustic emission from rock samples were studied as a function of applied uniaxial load. It was found that the parameters of the autocorrelation function of the acoustic emission event series change significantly near failure. An increase in the values of the autocorrelation coefficients and a tendency to a linear decrease with time were observed. We propose that the increasing autocorrelation of the acoustic emission series is an evidence of the increased affect that the individual acoustic emission sources have on one another. This mutual effect of acoustic events arises as a result of the redistribution of stress in the sample during the fracturing process at higher loads (more than 95% of ultimate strength). The results support the possibility of using autocorrelation analysis as a failure warning sign or even to predict the sample's total failure. Different rock materials and various loading patterns were used to generalise the results obtained.