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摘要
Mechanical properties of rocks change under hydrous condition, which easily causes instability and failure of rock, and triggers a disaster. Measuring the effect of moisture on the acoustic emission characteristics of rocks, and establishing an automatic identification model are the outstanding issues at present. In this study, a large number of acoustic emission data were collected during the rupture of rocks with different moisture contents, and the data were transformed by the musical-staff-inspired model. Several parameters, including contour, amplitude, and slope of signal, are quantitatively expressed in musical space. A curves similarity determination method was incorporated for data training. Results indicate success of measurement of rock moisture.
- 出版日期2018-9
- 单位重庆大学
