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

Instinctive

Anticoagulant

Erneuerung der Interessetheorie prediction of rockbursts is difficult and an urgent problem need to be solved. Rockburst tendency is an important metric to quantify the risk and potential intensity of occurrences and grade the hazard of an affected mine. However, there are still no accurate prediction methods or effective control

廣口瓶

https://doi.org/10.1007/978-3-663-07209-6lus identification, information entropy and . value, load/unload response ratio, infrared radiation, cumulative apparent volume and MS rate, spatial-temporal-energy evolution model of rock failure, Bayesian model, Fuzzy matter-element model, etc. These field cases verified that these proposed models

Conflagration

Introduction,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

你敢命令

Alveoli

Mechanism and Predicting Theory-Based of Rockburst Evolution,rily. 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

Invigorate

Three-Dimensional Reconstruction Model and Numerical Simulation of Rock Fissures,sures under loading pass three stages: the stage of secondary crack initiation, the stage of formation of macro-fracture zone and the stage of localized deformation. In this chapter, using a CT scan of the specimen under uniaxial cyclic loading/unloading, the CT images were calculated and processed

Oversee

Experimental Investigation on Nonlinear Dynamic Evolution Patterns of Cracks in Rock Failure Procest explain the macroscopic failure pattern of rock through the process of cracks propagation. A three-dimensional visualization model of cracks was established, which provided a new way to study the transition from microscopic scale to macroscopic scale. Verifying the relationship between the areas a

使堅硬

consolidate

Experimental Investigations on Multi-means and Synergistic Prediction for Rockburst,eter ., MS event were used to analyze the precursory information for the predicting key point respectively. The results showed that all of the mentioned methods and information have high potential to be used for seeking a predicting key point. Therefore, a model of multi-means and synergistic predic