標(biāo)題: Titlebook: Evolution, Monitoring and Predicting Models of Rockburst; Precursor Informatio Chunlai Wang Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable) [打印本頁] 作者: GRASS 時間: 2025-3-21 16:18
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
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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
作者: 法官 時間: 2025-3-21 21:32 作者: maverick 時間: 2025-3-22 03:20 作者: cogitate 時間: 2025-3-22 06:54 作者: 蹣跚 時間: 2025-3-22 09:39
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作者: 污點 時間: 2025-3-22 14:09 作者: 污點 時間: 2025-3-22 17:07
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作者: 光亮 時間: 2025-3-22 21:37 作者: SUE 時間: 2025-3-23 03:19 作者: 闡明 時間: 2025-3-23 06:27
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作者: Instinctive 時間: 2025-3-23 10:41 作者: Anticoagulant 時間: 2025-3-23 13:55
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作者: 廣口瓶 時間: 2025-3-23 18:49
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作者: Conflagration 時間: 2025-3-24 01:30
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作者: 你敢命令 時間: 2025-3-24 05:07 作者: Alveoli 時間: 2025-3-24 09:02
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作者: Invigorate 時間: 2025-3-24 13:14
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 作者: Oversee 時間: 2025-3-24 15:47
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作者: 使堅硬 時間: 2025-3-24 22:59 作者: consolidate 時間: 2025-3-25 01:38
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作者: arbovirus 時間: 2025-3-25 05:27 作者: 辯論的終結(jié) 時間: 2025-3-25 07:40 作者: Consequence 時間: 2025-3-25 14:37 作者: 開始沒有 時間: 2025-3-25 16:20
Evolution, Monitoring and Predicting Models of Rockburst978-981-10-7548-3作者: assent 時間: 2025-3-25 20:30
Book‘‘‘‘‘‘‘‘ 2018olistic 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作者: 紋章 時間: 2025-3-26 02:26 作者: GEN 時間: 2025-3-26 07:20
Mechanism and Predicting Theory-Based of Rockburst Evolution,inear dynamic theories of predicting rockburst were introduced, such as mutation, damage, load/unload response ratio, entropy, fuzzy matter element and Bayesian theory. New predicting models and methods were established based on these theories.作者: 言外之意 時間: 2025-3-26 10:37
Experimental Investigation on Nonlinear Dynamic Evolution Patterns of Cracks in Rock Failure Procesn the macroscopic damage of sandstone,and extended to all hard rock. It revealed the nonlinear dynamic evolution patterns of cracks propagation in the process of sandstone failure using CT parameters. This model provided a new method for predicitng rock dynamic hazard. Compared with the actual test 作者: Platelet 時間: 2025-3-26 15:16
Elektrochemische Energiespeicher,dicting of rockbursts and their predicting models based on the nondeterministic theory was also introduced. In this book, we did some studys on dynamic hazard evolution, predicting model using traditional monitoring, AE monitoring, microseismic monitoring and infrared monitoring.作者: Insubordinate 時間: 2025-3-26 17:26 作者: 羽飾 時間: 2025-3-26 21:20 作者: 貴族 時間: 2025-3-27 04:23 作者: GRE 時間: 2025-3-27 06:12
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作者: nocturnal 時間: 2025-3-27 09:44 作者: 口訣法 時間: 2025-3-27 17:31
Erneuerbare Energietr?ger 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.作者: majestic 時間: 2025-3-27 19:09
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.作者: 營養(yǎng) 時間: 2025-3-28 01:55 作者: interpose 時間: 2025-3-28 06:08
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.作者: Mucosa 時間: 2025-3-28 06:28
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.作者: 運動吧 時間: 2025-3-28 13:23
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.作者: idiopathic 時間: 2025-3-28 17:20 作者: 急性 時間: 2025-3-28 21:43
Jürgen Neubarth,Martin Kaltschmittne was reproduced by the reconstructed numerical model, and the model was simulated by FLAC software under uniaxial cyclic load/unload. In order to further reveal the damage mechanism of rockmass instability, predicting rockburst during the process of damage evolution and rockmass instability was organically combinated.作者: indecipherable 時間: 2025-3-29 00:27
