Experimental Investigation on AE Precursor Information of Rockburst [chapter]

Chunlai Wang
2017 Evolution, Monitoring and Predicting Models of Rockburst  
Macro-fracture of rockmass is caused by nucleation, extension and propagation from micro-cracks among the meso-structures. So, it is important to obtain the evolution pattern from micro-facture to meso-scale. Rock fracture is accompanied with crystal dislocation, crystals slip, elastoplastic deformation, crack initiation, and propagation. Meanwhile, energy is released in the form of stress waves which can be monitored. Stress wave monitoring techniques, such as AE and micro-seismic (MS)
more » ... eismic (MS) monitoring, have been used for many decades to study the fracturing behavior of rock. As an important method of dynamic hazard monitoring, it can obtain the intensity and frequency of microseismic events activity and the location distribution of microseismic events, so we can estimate the potential dynamic hazard and obtain the precursory information to achieve the predicting hazards. However, it is difficult to achieve the field practice from the rock experiment. Meanwhile, the lab test is an effective method to research the rock failure. Therefore, it's the primary task to analyze the changing characteristics and the precursory information pattern of rockburst. In recent decades, many scholars obtained some relevant research in precursory information characteristics of rockburst. Under uniaxial compression test, the appeared relatively quiet period of AE was found before the rock failure, and this phenomenon was used as precursory information of rockburst (Wang 2014). Carpinteri et al. (2007) found that the rate of AE energy was accelerating before the sample failure. Lacidogna et al. (2011) found that AE signal was consistent with damage and evolution process of brittle rock, and taken the action that the stress was deeply down as failure precursor. Wang et al. (2015a, b) found relative quiet period before the rock failure, the predicting point of rockburst was proposed and some correlative theories were obtained in field practice. Meng et al. (2016) analyzed the energy evolution feature of red sandstone deformation under the different cycle loading rates. Furthermore, the implied conversion pattern between energy
doi:10.1007/978-981-10-7548-3_6 fatcat:vcyu6sasu5hvnavrbjd22kpgb4