Abstract
The abrupt rock-related hazards, such as landslide, rock burst, and collapse, seriously threaten the safety and service life of engineering works. Precursory information on critical transitions preceding sudden fracture is of great significance in rock mechanics and engineering. This study investigates the critical slowing down feature of acoustic emission (AE) signals and precursory indicators during the mode I fracture process of brittle rock. Cracked chevron notched Brazilian disc (CCNBD) specimens were utilized, accompanied by acoustic emission monitoring. The principle of critical slowing down was introduced to study AE count sequences, and the variance and autocorrelation coefficient versus loading time curves were analyzed. The results show critical slowing down phenomenon exists during mode I rock fracture. The variance and autocorrelation coefficient of AE counts grow significantly prior to rock fracture, and thus, the significant growth of variance and autocorrelation coefficient of AE signals can act as the precursory indicator of rock fracture. Compared to the autocorrelation coefficient, the precursors determined by the variance are more remarkable. The time interval between the precursory indicator using the critical slowing down theory and fracture moment ranges from 2% to 15% of the entire loading time. The findings in this study could facilitate better understandings on the rock fracture process and early-warning technique for rock fracture-related geological disasters.
Highlights
Academic Editor: Hongwei Yang e abrupt rock-related hazards, such as landslide, rock burst, and collapse, seriously threaten the safety and service life of engineering works
Cracked chevron notched Brazilian disc (CCNBD) specimens were utilized, accompanied by acoustic emission monitoring. e principle of critical slowing down was introduced to study AE count sequences, and the variance and autocorrelation coefficient versus loading time curves were analyzed. e results show critical slowing down phenomenon exists during mode I rock fracture. e variance and autocorrelation coefficient of AE counts grow significantly prior to rock fracture, and the significant growth of variance and autocorrelation coefficient of AE signals can act as the precursory indicator of rock fracture
Compared to the autocorrelation coefficient, the precursors determined by the variance are more remarkable. e time interval between the precursory indicator using the critical slowing down theory and fracture moment ranges from 2% to 15% of the entire loading time. e findings in this study could facilitate better understandings on the rock fracture process and early-warning technique for rock fracture-related geological disasters
Summary
Academic Editor: Hongwei Yang e abrupt rock-related hazards, such as landslide, rock burst, and collapse, seriously threaten the safety and service life of engineering works. Is study investigates the critical slowing down feature of acoustic emission (AE) signals and precursory indicators during the mode I fracture process of brittle rock. Rock failure and instability during the engineering construction and performance periods may cause a series of geological disasters, including landslide, rock burst, collapse, and large deformation of the tunnel, which seriously threatens the safety and service life of engineering works. Many scholars investigated the characteristics and precursory information of AE signals during the rock deformation and damage process, e.g., the remarkable increase in the number and release rate of AE counts or events [8, 9], the change of seismic b-value [10,11,12], the variation of spatial correlation length [13, 14], frequency spectrum characteristics [15, 16], and fractal characteristics [17,18,19,20,21]. E critical slowing down phenomenon exists in a complicated dynamical system as the system shifts suddenly
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