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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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Book‘‘‘‘‘‘‘‘ 2018experiment, 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 microstrucur
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Erneuerbare Energieträger in Deutschlanded methods and information have high potential to be used for seeking a predicting key point. Therefore, a model of multi-means and synergistic prediction for rockburst was designed based on these above methods for making up for and verify each other, making it more reasonable, scientific and effective.
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https://doi.org/10.1007/978-3-663-07209-6emporal-energy evolution model of rock failure, Bayesian model, Fuzzy matter-element model, etc. These field cases verified that these proposed models, methods and theories were highly accurate and meaning for the predicting rockburst.
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Experimental Investigations on Multi-means and Synergistic Prediction for Rockburst,ed methods and information have high potential to be used for seeking a predicting key point. Therefore, a model of multi-means and synergistic prediction for rockburst was designed based on these above methods for making up for and verify each other, making it more reasonable, scientific and effective.
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Field Case,emporal-energy evolution model of rock failure, Bayesian model, Fuzzy matter-element model, etc. These field cases verified that these proposed models, methods and theories were highly accurate and meaning for the predicting rockburst.
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Erneuerung der Interessetheorie measures. By considering multiple factors, the new model can overcome the limitations of single-factor methods. These attempts have not yet formed a complete theoretical system. Based on the Bayesian theory and Fuzzy element-matter theory, two multi-index evaluation models were proposed the predicting model for rockburst tendency.
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