Rock burst proneness prediction by acoustic emission test during rock deformation

ZHANG Zhi-zhen(张志镇), GAO Feng(高峰), SHANG Xiao-ji(尚晓吉)

(1. State Key Laboratory for Geomechanics and Deep Underground Engineering (China University of
Mining & Technology), Xuzhou 221116, China;
2. School of Mechanics and Civil Engineering, China University of Mining & Technology, Xuzhou 221116, China)

Abstract:Rock burst is a severe disaster in mining and underground engineering, and it is important to predict the rock burst risk for minimizing the loss during the constructing process. The rock burst proneness was connected with the acoustic emission (AE) parameter in this work, which contributes to predicting the rock burst risk using AE technique. Primarily, a rock burst proneness index is proposed, and it just depends on the heterogeneous degree of rock material. Then, the quantificational formula between the value of rock burst proneness index and the accumulative AE counts in rock sample under uniaxial compression with axial strain increases is developed. Finally, three kinds of rock samples, i.e., granite, limestone and sandstone are tested about variation of the accumulative AE counts under uniaxial compression, and the test data are fitted well with the theoretic formula.

Key words:rock mechanics; rock burst proneness; prediction; accumulative acoustic emission counts; Weibull statistical distribution