Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7121082 | Measurement | 2018 | 9 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Wei Zheng, Jingyu Jiang, Kai Tao,