Characterizing Failure Mechanism of Soft and Hard Rocks: Implication from Acoustic Emission and Machine Learning

Puntos clave

• Failure mechanisms were characterized through acoustic emission signals, revealing distinct behaviors in rock types.
• Key evidence showed variations in acoustic emissions correlated with rock hardness, suggesting significant differences.
• Analysis combines acoustic emission data with machine learning techniques to identify unique patterns in rock failure.
• Findings highlight the need for advanced modeling tools in geotechnical engineering.