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Book/Printed Material Evolution, Monitoring and Predicting Models of Rockburst : Precursor Information for Rock Failure

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About this Item

Title

  • Evolution, Monitoring and Predicting Models of Rockburst : Precursor Information for Rock Failure

Summary

  • This open access book focuses on investigating predicting precursor information and key points of rockburst in mining engineering through laboratory experiment, theoretical analysis, numerical simulation and case studies. Understanding the evolution patterns for the microstructure instability of rock is a prerequisite for rockburst prediction. The book provides a guide for readers seeking to understand the evolution patterns for the microstrucure of rock failure, the predicting key point of rock failure and the rockburst predicting model. It will be an essential reference to understand mechanism of rockburst and sheds new light on dynamic disasters prediction. Chapters are carefully developed to cover (1) The evolution patterns for the microstructure instability of rock; (2) Rockburst hazard monitoring and predicting criterion and predicting models. The book addresses the issue with a holistic and systematic approach that investigates the occurrence mechanism of rockburst based on the evolution patterns for the microstructure of rock failure and establishes the predicting model of rockburst. This book will be of interest to researchers of mining engineering, rock mechanics engineering and safety engineering.

Names

  • Wang, Chunlai, author.

Created / Published

  • Singapore : Springer Singapore : Imprint: Springer, 2018.

Contents

  • 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.

Headings

  • -  Geotechnical engineering
  • -  Mechanics, Applied
  • -  Mechanics
  • -  Natural disasters
  • -  Statistical physics
  • -  System safety
  • -  Geotechnical Engineering & Applied Earth Sciences
  • -  Applications of Nonlinear Dynamics and Chaos Theory
  • -  Natural Hazards
  • -  Security Science and Technology
  • -  Theoretical and Applied Mechanics

Notes

  • -  Description based on publisher-supplied MARC data.
  • -  Earth and Environmental Science (R0) (SpringerNature-43711)
  • -  Earth and Environmental Science (SpringerNature-11646)

Medium

  • 1 online resource (XIX, 188 pages 92 illustrations, 77 illustrations in color.)

Digital Id

Library of Congress Control Number

  • 2019769374

Rights Advisory

Access Advisory

  • Unrestricted online access
  • Open Access

Online Format

  • image
  • epub

Additional Metadata Formats

Rights & Access

The books in this collection are licensed under open access licenses allowing for the reuse and distribution of each book following the terms described in each license. Researchers should consult the Rights Advisory statement for each title and the accompanying license details for information about rights and permissions associated with each of the licenses.

More about Copyright and other Restrictions.

Cite This Item

Citations are generated automatically from bibliographic data as a convenience, and may not be complete or accurate.

Chicago citation style:

Wang, Chunlai, Author. Evolution, Monitoring and Predicting Models of Rockburst: Precursor Information for Rock Failure. Singapore: Springer Singapore: Imprint: Springer, 2018. Image. https://www.loc.gov/item/2019769374/.

APA citation style:

Wang, C. (2018) Evolution, Monitoring and Predicting Models of Rockburst: Precursor Information for Rock Failure. Singapore: Springer Singapore: Imprint: Springer. [Image] Retrieved from the Library of Congress, https://www.loc.gov/item/2019769374/.

MLA citation style:

Wang, Chunlai, Author. Evolution, Monitoring and Predicting Models of Rockburst: Precursor Information for Rock Failure. Singapore: Springer Singapore: Imprint: Springer, 2018. Image. Retrieved from the Library of Congress, <www.loc.gov/item/2019769374/>.