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Titlebook: Evolution, Monitoring and Predicting Models of Rockburst; Precursor Informatio Chunlai Wang Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable)

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书目名称Evolution, Monitoring and Predicting Models of Rockburst
副标题Precursor Informatio
编辑Chunlai Wang
视频video
概述Investigates the dynamic evolution patterns of rockburst.Provides the growth factor model of rock cracks.Explains the acoustic emission time-space-frequency-energy evolution model of rock rupture plan
图书封面Titlebook: Evolution, Monitoring and Predicting Models of Rockburst; Precursor Informatio Chunlai Wang Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable)
描述.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 engine
出版日期Book‘‘‘‘‘‘‘‘ 2018
关键词AE experiment of rock under uniaxial cyclic load/unload; Three-dimensional reconstruction of fissured
版次1
doihttps://doi.org/10.1007/978-981-10-7548-3
isbn_softcover978-981-13-5651-3
isbn_ebook978-981-10-7548-3
copyrightThe Editor(s) (if applicable) and The Author(s) 2018
The information of publication is updating

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Elektrochemische Energiespeicher,m, it will become a bottleneck restricting for the development of mining (especially deep mining). It was very important to establish a multi-means to monitor and predict model for rockburst. This chapter was introduced the current research status on rockburst induced conditions and predicting, thre
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https://doi.org/10.1007/978-3-531-91579-1rily. In this chapter, the mechanism of rockburst stress-energy evolution is obtained by analyzing the pre-peak stage of rock compressive deformation. Rockburst is mainly caused by the accumulation of stress and the accumulation and release of elastic strain. The change of stress for rockburst occur
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https://doi.org/10.1007/978-3-531-90890-8as analyzed with the spatial-temporal distribution characteristics of AE, AE evolution pattern and the precursor feature of limestone failure were found. Secondly, the characteristic point of the relatively quiet period was defined as a characteristic precursor point of rock failure. The correspondi
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