Towards early rockburst susceptibility assessment: A simple approach combining acoustic emission and uniaxial compression tests

Abstract

The discrimination of rockburst proneness is crucial for ensuring the safe construction of deep underground rock engineering. This study aims to propose a novel criterion for predicting rockburst proneness based on rock crack damage strength (σ_CD) and the load/unload response ratio (LURR) theory. Uniaxial compression (UC) tests and uniaxial compression graded load-unload (UCGL) tests were conducted on 13 distinct rocks. The consistency between σ_CD points and LURR start-rise points was analyzed, and an improved acoustic emission (AE) Kneedle algorithm was developed to quantitatively calculate σ_CD based on AE data. A novel lag time ratio index (T_CD^AE)was defined as the ratio of the loading time interval between σ_CD and peak strength. The fitting degree between σ_CD points and LURR start-rise points reached 0.983, demonstrating strong consistency. The improved AE method for determining σ_CD showed a correlation of 0.993 with the classical crack volume strain method, confirming its effectiveness. The proposed TCDAE-based criterion significantly reduced discrimination time by at least 50% while maintaining high accuracy. A novel rockburst proneness criterion based on TCDAE was established, offering improved efficiency and reliability compared to existing methods.

Keywords

rock material / rockburst proneness / crack damage strength / improved acoustic emission(AE) Kneedle method / load/unload response ratio theory

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