Rock Moisture Recognition by Combining AE with Musical-staff-inspired Model

Abstract

Abstract. Mechanical properties of rocks change under hydrous condition, which easily causes instability and failure of rock, and triggers a disaster. Questions about determining the effect of moisture on the acoustic emission characteristics of rocks, and establishing an automatic identification model loom large 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 turned into data that are composed of musical parameters by a musical-staff-inspired model which reflect AE characteristics of water-filled rocks. Through training these data with a curves similarity determination method, the measured rock could be classified into the corresponding moisture group. Results of experiments indicate success of recognition of rock moisture.

Experimental Investigation of Mechanical Behavior of Sandstone with Different Moisture Contents Using the Acoustic Emission Technique

“…e failure process of rock under the loading effect actually corresponds to the coupling process between energy absorption and energy release. e ratio of AE events and the cumulative number of AE events can indicate the formation, extension frequency, and total number of cracks in sandstone [14,28]. According to the data collected by using the DS5 AE detection system, the change curves of the total energy and cumulative AE events in rock samples on different moisture conditions with time are drawn.…”