Acoustic emission characteristics and failure prediction of defective cemented gangue-fly ash backfill under seepage-stress coupling

ABSTRACT

Aiming at the problem of seepage-stress coupling failure instability of cemented gangue-fly ash backfill (CGFB) with defects, the triaxial compression test and acoustic emission (AE) monitoring test of the CGFB were carried out in this paper. The strength characteristics of defective CGFB under seepage-stress coupling were analysed，the variation rules of AE parameters (ring count, b-value and entropy value) in the failure process were systematically studied. It is found that the AE parameters (ring count, b-value, and entropy value) of backfill with defects under seepage-stress coupling have a ‘mutation’ phenomenon, which can be used as a precursor feature of failure instability of backfill. Combined the grey-cusp catastrophe theory, a failure prediction model of backfill based on AE parameters (ringing count) was established, and the seepage-stress coupling fracture of backfill with defects was effectively predicted, indicating that the model is feasible to predict the seepage-stress coupled failure of backfill with defects. The research results can provide a theoretical basis for stability monitoring and failure prediction of backfill in deep water-rich mines in China.

KEYWORDS:

• defective cemented gangue-fly ash backfill
• seepage
• acoustic emission
• failure prediction model
• grey-cusp catastrophe theory

Acknowledgments

This work was supported by National Key Research and Development Program (Grant No. 2018YFC0604700), Fundamental Research Program of Shanxi Province (Grant No. 20210302124355), Scientific research support project of Shanxi Datong University (Grant No. 2020LK13) and Scientific and Technologial Innovation Programs of Higher Education Institutions in Shanxi (Grant No. 2019L754, 2022L446).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

All data is available within the article or from the corresponding author upon request.

Additional information

Funding

The work was supported by the Scientific and Technologial Innovation Programs of Higher Education Institutions in Shanxi [2022L446]; National Key Research and Development Program [2018YFC0604700].