Evolution, Monitoring and Predicting Models of Rockburst: Precursor Information for Rock Failure
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 roc...
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Format: | Ebooks |
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Springer Nature,
2018.
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Online Access: | Get Fulltext |
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LEADER | 01119 am a22001813u 4500 | ||
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001 | oer_unej_540 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Chunlai Wang |e author |
245 | 0 | 0 | |a Evolution, Monitoring and Predicting Models of Rockburst: Precursor Information for Rock Failure |
260 | |b Springer Nature, |c 2018. | ||
500 | |a http://oer.library.unej.ac.id//index.php?p=show_detail&id=540 | ||
500 | |a 622 | ||
520 | |a 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. | ||
546 | |a en | ||
690 | |a Mechanical Engineering | ||
690 | |a NONE | ||
655 | 7 | |a Text |2 local | |
856 | 4 | 1 | |u http://oer.library.unej.ac.id//index.php?p=show_detail&id=540 |z Get Fulltext |