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

GRASS

書目名稱Evolution, Monitoring and Predicting Models of Rockburst影響因子(影響力)




書目名稱Evolution, Monitoring and Predicting Models of Rockburst影響因子(影響力)學(xué)科排名




書目名稱Evolution, Monitoring and Predicting Models of Rockburst網(wǎng)絡(luò)公開度




書目名稱Evolution, Monitoring and Predicting Models of Rockburst網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolution, Monitoring and Predicting Models of Rockburst被引頻次




書目名稱Evolution, Monitoring and Predicting Models of Rockburst被引頻次學(xué)科排名




書目名稱Evolution, Monitoring and Predicting Models of Rockburst年度引用




書目名稱Evolution, Monitoring and Predicting Models of Rockburst年度引用學(xué)科排名




書目名稱Evolution, Monitoring and Predicting Models of Rockburst讀者反饋




書目名稱Evolution, Monitoring and Predicting Models of Rockburst讀者反饋學(xué)科排名

法官

maverick

cogitate

蹣跚

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

污點

污點

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

光亮

SUE

闡明

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