Field Case [chapter]

Chunlai Wang
2017 Evolution, Monitoring and Predicting Models of Rockburst  
Dynamic hazards predicting can be divided into single-stage predicting and large-scale mining predicting. China's metal mine production is relatively backward, a wide range of workplaces are not suitable for portable instruments into the stope for one-on-one monitoring and predicting. In addition, the monitoring results of single stope can not reflect the trend of large-scale hazard. Large-scale mining area and continuous mining area of hazard monitoring and predicting should take multi-channel
more » ... instrument for positioning processing dynamic hazard (Cheng et al. 2006; Liu 2008; Li et al. 2005) . It is difficult to explain the dynamic hazards with traditional rock mechanics theory. People attempt to use the microseismic monitoring technology to predict dynamic hazard. For a long time, despite the precursor features and anomalies do not always indicate the advent of hazards. Compared with the traditional rock mechanics method, the predicting system must have a fundamental innovation in theory. In this chapter, based on the non-deterministic theory, which includes the mutation theory, synergetics, dissipative theory, fractal structure theory and artificial neural network system, the demonstration model for mine dynamic hazard monitoring was established. All of these monitoring includes: microseismic monitoring, predicting criteria models and synergetic monitoring methods. These field cases verified that these proposed aforementioned theoried and methods can predict rockburst in a reliable mode; these are meaning discoveries for predicting rockburst.
doi:10.1007/978-981-10-7548-3_9 fatcat:lz3xpfd3hnbw3a63bflsiieegm