3685 On the evaluation of destress blasting for deep level hard rock mining
On the evaluation of destress blasting for deep level hard rock mining
DOI:
https://doi.org/10.17159/Abstract
Deep level hard rock mining faces significant challenges due to elevated in-situ stresses, resulting in hazardous rockbursts and seismic events. Destress blasting is a crucial preconditioning technique that mitigates these risks by redistributing stresses and reducing stored strain energy ahead of mining excavations. This study systematically evaluates the effectiveness of destress blasting by consolidating research on numerical modelling, field-based monitoring, and rockburst prediction criteria. It critically examines numerical simulation techniques, including static and dynamic modelling, to optimise blast parameters such as explosive energy distribution, borehole spacing, and initiation sequences. It also assesses geophysical monitoring tools like Ground Penetrating Radar (GPR) and borehole periscopes for evaluating blast-induced fracture networks, alongside seismic analysis methods for tracking microseismic activity before and after blasting. Key rockburst prediction indices – Strain Energy Storage Coefficient (F), Brittle Shear Ratio (BSR), and Burst Potential Index (BPI) – are explored for their applicability in quantifying stress relief efficiency. The study identifies gaps in existing research, including the need for improved predictive models, enhanced integration of monitoring data, and site-specific adaptations for different geological conditions. Its structured evaluation framework combines empirical assessments with theoretical and computational approaches, providing a holistic understanding of destress blasting performance. The study advances destress blasting strategies, improves safety protocols, and optimises stress management in deep underground mines. Future research should refine numerical simulations with real-time seismic data, integrate machine learning for predictive analysis, and develop standardised performance assessment criteria to enhance destress blasting effectiveness.
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Copyright (c) 2025 Bekir Genc, Mr Tawanda Zvarivadza, Professor Onifade, Manoj Khandelwal, Mr Changping Yi, Professor Dineva
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