Evolution, Monitoring and Predicting Models of Rockburst
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Evolution, Monitoring and Predicting Models of Rockburst

Evolution, Monitoring and Predicting Models of Rockburst


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About the Book

Introduction.- Experimental Materials and Equipment.- The Mechanism and Predicting Theory-Based Rockburst Evolution.- Three-dimensional Reconstruction Model and Numerical Simulation of Rock Fissures.- The Patterns of Dynamic Evolution of Cracks in Rock Failure.- Experiment Investigation of AE Precursor Information for Rockburst.- Experimental Investigations on Multi-means and Synergistic Prediction for Rockburst.- Predicting Model of Rockburst Based on Nondeterministic Theory.- Field Case.


About the Author:

Dr. Chunlai Wang graduated from Heibei Polytechnic University in 2001 and he obtained his PhD of Mining Engineering from University of Science and Technology Beijing in 2011. He works as associate professor in the Faculty of Resources and Safety Engineering, China University of Mining & Technology Beijing, China, and he is now the associate director of the department of Department of Resources Engineering. In 2015-2016, he commenced his research in the University of British Columbia, as a visiting scholar. In 2012, he was awarded the National Youth Science and Technology Award from China Coal Society. He took charge of more than 10 national scientific projects including the National Natural Science Foundation of China (NSFC). His research interests focus mainly on predicting of mine dynamic hazards, predicting model and criterion, and reinforced technology for 16 years. Up to now, he has published over 50 academic papers and holds 8 patents in China, in which more than 15 English papers were published in International Journal of Rock Mechanics and Mining Sciences, etc. He has also authored a number of books and book chapters including Microseismic Monitoring Predicting and Reinforced Technology of Dynamic Hazards in Deep Mining (Beijing: Metallurgical Industry Press, 2013). He has won 6 National or Provincial Science and Technology Progress Awards.


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Product Details
  • ISBN-13: 9789811075476
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2018
  • Language: English
  • Returnable: Y
  • Sub Title: Precursor Information for Rock Failure
  • Width: 156 mm
  • ISBN-10: 9811075476
  • Publisher Date: 12 Feb 2018
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 188
  • Spine Width: 13 mm
  • Weight: 526 gr


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