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Evolution, Monitoring and Predicting Models of Rockburst [electronic resource] : Precursor Information for Rock Failure / by Chunlai Wang.

By: Contributor(s): Material type: TextTextPublisher: Singapore : Springer Singapore : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XIX, 188 p. 92 illus., 77 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811075483
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 624.151 23
LOC classification:
  • TA703-705.4
Online resources:
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.
In: Springer Nature eBookSummary: 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.
Holdings
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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.

Open Access

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.

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