Acoustic emission signals from two sensors were used to monitor damage locations in tunnel specimen
The tunnel lining was divided into multiple zones to identify the region where damage occurred
Machine learning-based classification was applied to estimate damage zones using a minimal sensor configuration
The test is based on the background that electrical resistivity shows identical flow behavior with permeability
The influence of geometric bariables of rock joints on the resistivity was studied through lab test
Relationship between the clay content and the electrical resistivity was studied
Undrained shear strength is estimated using shear wave velocity measured by a penetrometer
Seismic signals are recorded, stacked, and analyzed to determine travel tiems via first arrival, peak-to-peak, or cross-correlation
Shear wave velocity profiles are calculated using the mean refracted ray path, modified interval, and refracted ray path method