Underground Sedimentary Rock Moisture Permeation Damage Assessment Based on AE Mutual Information

Abstract

Moisture permeation would lead to damage accidents. It is of great significance to measure and monitor the moisture states of underground sedimentary rock engineering in real time. In this research, a reliability assessment method for underground rock based on acoustic emission (AE) mutual information was proposed. First, the mutual relationship between multiple AE parameters and moisture permeation damage was analyzed. Then the mechanical parameters were fit by the probabilistic method, so that moisture permeation damage could be assessed with a data-driven approach. The experiment showed that this method could identify samples with different moisture permeation damage levels. The moisture permeation damage could be predicted in the early stage. Moreover, this method could reduce sensor error through probabilistic analysis.