Identification of coal-rock interface under uniaxial compression using electric potential method
Abstract
The instability of composite coal-rock structures can easily trigger severe dynamic disasters, such as rockbursts. The application of electric potential (EP) method shows promise for disaster prediction and accurate identification of coal-rock interfaces. In this study, uniaxial compression experiments were conducted to monitor the EP spatiotemporal response of fine sandstone-coal and coarse sandstone-coal combined samples. EP distribution contour maps and three-dimensional (3D) EP models were utilized to explore the failure mechanisms and identify the interface state. Then the relationship between EP response and force field was examined through numerical simulations. An EP-based multifractal method was utilized to predict rock failure. Results show that the intensity and polarity of EPs differ between coal and rock but are correlated with stress state. The progressive failure features of two types of combined samples differ, triggering distinct EP responses. In the EP contour maps, the EP level increases with increasing height, and a low-intensity signal band appears around the interface before failure. When failure occurs, the EP field changes, and the low-intensity signal band becomes distorted. The 3D EP models effectively visualize the progressive failure of combined samples and clearly identify the interface location, similar to acoustic emission (AE) location. The evolution of force chain field is closely related to EP generation, and sparse strong force chain fields leads to a significant increase in EP level. Furthermore, the EPs display multifractal features, with precursory information being reflected in Δ α and Δ f . This study provides new ideas for early-warning of composite coal-rock and coal-rock interface identification.
Fields of Study & Subjects
Earthquake Detection and Analysis
Rock Mechanics and Modeling
Geophysical and Geoelectrical Methods
Publication details
- Journal / source
- Journal of Rock Mechanics and Geotechnical Engineering
- Publisher
- Elsevier BV
- Volume
- 18
- Issue
- 5
- Pages
- 3483–3498
- Publication date
- 14 January 2026
- Language
- EN