4.5 Article

Back-Analysis of Rock Mass Strength at a Radioactive Waste Disposal Site Using Acoustic Emission Monitoring Data and 3D Numerical Modelling

Journal

ENERGIES
Volume 16, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/en16124686

Keywords

radioactive waste; granite; acoustic emission; spalling; crack initiation; hypocenter; rock mass strength; differential stress

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This study examined a new method of using acoustic emission (AE) monitoring data and stress analysis to calculate rock mass strength. The AE data from the National Radioactive Waste Repository (NRWR) were used to detect stress changes in the rock mass. The method used AE data to back-calculate parameters and developed an objective function based on the AE initiation threshold. The findings suggest that most AE events can be related to the crack initiation threshold, and significant irreversible deformations occur in the vicinity of the excavation damage zones.
In this study, a new method was examined that used acoustic emission (AE) monitoring data, in combination with a primary Boundary Element stress analysis, to back-calculate rock mass strength. The presented AE data came from the National Radioactive Waste Repository (NRWR) for low- and intermediate-level waste (LLW/ILW). AE monitoring is able to detect the pre-peak, peak, and post-peak stress changes in rock mass. The presented method used AE monitoring data to back-calculate parameters, such as uniaxial compressive strength and the rock mass deformation modulus. The AE initiation threshold was used to develop an objective function that considered the stress in the rock mass and the rock mass strength. The findings of this research propose that most AE events can be related to the crack initiation threshold, and in space, most of them are located at points away from the excavated walls. In the vicinity of the excavation damage zones around the cavities, the stress conditions beyond the crack damage boundary of the rock mass occur in many areas, leading to significant irreversible deformations. This novel method was demonstrated to aid in the prediction of rock mass strength and is a valuable, non-invasive method for improving the spatial prediction of rock mass parameters, which will lead to safer underground storage facilities.

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