Biography
Prof. Longjun Dong
Prof. Longjun Dong
School of Resources and Safety Engineering, Central South University, China
Title: Some key issues of acoustic emissions and microseismic monitoring in deep rock engineering: from data to information
Abstract: 
The microseismic/ acoustic emission (MS/AE) monitoring is an effective and widely used method for the rock stress monitoring in deep rock engineering. The MS/AE monitoring includes source localization methods, and source mechanism inversion and discrimination. In this presentation, a set of localization source methods were introduced to eliminate the effects for the location accuracy induced by premeasured P-wave velocity, straight wave path, and abnormal arrivals. Four kinds of source classification methods are proposed for solving the difficulty that the discrimination of microseismic events and blasts is totally dependent on manual classification. On the basis of the above research, full waveform inversion methods are used to investigate the different microseismic source mechanisms in a more quantitative way. This presentation provides beneficial suggestion for removing noises for MS/AE data, which provide useful information to control and prevent the disasters induced by high stress in deep rock engineering.

Index Terms:  discrimination, localization methods, removing noises, moment tensor inversion, and rock engineering
Biography: 
Longjun Dong received the Ph.D. from the School of Resources and Safety Engineering, Central South University, Changsha, China. From 2012 to 2013, he was a Researcher Assistant with the Australia Center for Geomechanics, The University of Western Australia, Perth, Australia. He is currently a Professor and Director of Department of Safety Science and Engineering in the School of Resources and Safety Engineering, Central South University. He holds a project supported by the National Science Foundation for Excellent Young Scholars of China in 2018. He has authored more than 100 papers published in related conference proceedings and journals. He holds 30 patents. His current research interests include applied acoustics, machine learning algorithms, mining safety, nondestructive evaluation, safety ergonomics, and structural reliability. He is a Senior Member of IEEE, and the member of ASCE and ISRM. He has served as a Reviewer of more than 30 journals. He was selected for the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology. He is invited to serve as the Editorial Board Member/Associate editor of Safety Science, Scientific Reports, Journal Safety in Extreme Environments, Shock and Vibration, Safety, and Arabian Journal of Geosciences.