Acoustic emission (AE) has gained interest in geotechnical engineering for laboratory applications to assess the micro behavior of granular materials. This study investigates the time-driven method, specifically using the root mean square (RMS), as an alternative to the parameter-based method commonly used in current research, which relies on the adequate selection of threshold and timing parameters. We conducted a consolidated drained triaxial test on Ottawa silica sand, incorporating AE sensors in the top and bottom caps of the triaxial cell. The RMS of the AE signals was calculated to analyze the soil's mechanical behavior. Our findings demonstrate a strong correlation between the stress-strain response and AE activity, suggesting that the time-driven method can effectively provide insights into real-time ground monitoring and early warning systems in geotechnical engineering.
4th Asia-Pacific Conference on Physical Modelling in Geotechnics (ACPMG2024)
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