Present Situation and Consideration of Rock Burst Hazard

2011 ◽  
Vol 250-253 ◽  
pp. 136-147 ◽  
Author(s):  
Lin Deng ◽  
Yan Lv ◽  
Rong Gui Deng
Keyword(s):  
Rock Mass ◽  
Present Situation ◽  
Mathematical Explanation ◽  
Underground Space ◽  
Rock Mass Structure ◽  
Attribute Weights ◽  
Practical Project ◽  
Intensity Classification ◽  
Full Consideration

Rockburst is a sudden disaster that endangers greatly the security of operators and facilities in the production.The problem of rockburst is the most important issues in the underground space. This paper describes the present situation of the disaster at home and abroad ,which includes the conception，classification, intensity classification, mechanism, forecasting, and prenvention. Based on these analysis, This paper summarizes the following questions：Conception and intensity classification of rockburst has not level , its major and minor influencing factors has not compartmentalized; without taking full consideration in the influence of rock mass structure and dynamic action in comprehensive prediction, and there are fewer considerations of it in practical project; Attribute weights of all the factors are always subjectivity, it can not give the mathematical explanation; Study on rockburst mechanism are not enough, It can not exactly prodict when and where occur,can not raise the perfect time to prenvent the disasters.At the end of this paper, it is pointed out that it is the emphasis topic which comprehensive prediction with computer.

Assessment of Weathering Effects on Rock Mass Structure

2014 ◽  
Vol 72 (1) ◽  
Author(s):  
Seyed Vahid Alavi Nezhad Khalil Abad ◽  
Edy Tonnizam Mohamad ◽  
Ibrahim Komoo ◽  
Roohollah Kalatehjari
Keyword(s):  
Rock Mass ◽  
Stereographic Projection ◽  
Granitic Rock ◽  
Rock Mass Structure ◽  
Joint Spacing ◽  
Specific Relation ◽  
Joint Characteristics ◽  
Increasing Trend ◽  
Weathering Effects

This paper presents an assessment of weathering effect to the rock mass structure by studying the joint characteristics of tropically weathered granite. Joint survey was performed by scanline method and the results were analyzed statistically by stereographic projection plots. The overall trend of mean joint spacing followed a sharp decrement from fresh to moderately weathered zone and then a slight increment to highly and completely weathered zones, whereas the overall trend of mean joint trace length showed a gradual decrement over progress of weathering. In addition, the degree of joints inclination and weathering zones revealed an increasing trend in the percentage of horizontal joints from fresh to completely weathered rocks, while no specific relation was found between the numbers of major joint set and different weathering zones. The results of this study may contribute to understanding the behavior and better classification of weathered granitic rock mass as a heterogeneous mass in engineering works.

scholarly journals Evolution Pattern and Matching Mode of Precursor Information about Water Inrush in a Karst Tunnel

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1579
Author(s):  
Jie Song ◽  
Diyang Chen ◽  
Jing Wang ◽  
Yufeng Bi ◽  
Shang Liu ◽  
...  
Keyword(s):  
Rock Mass ◽  
Stress Field ◽  
Displacement Field ◽  
Water Inrush ◽  
Seepage Field ◽  
Karst Tunnel ◽  
Rock Mass Structure ◽  
Evolution Pattern ◽  
Water Blocking ◽  
Precursor Information

The water inrush of the Shangjiawan karst tunnel is used to study the evolution pattern of precursor water inrush information in water-filled caves and to further reveal the matching mode of the information. The three-dimensional numerical method FLAC3D was used to simulate the evolution process of water inrush after damage to a water-blocking rock mass structure in a water-filled cave and to obtain the evolution pattern of precursor water-inrush information caused by the damage. The results show that the multifield response to the characteristic precursor information of the water-inrush pattern after the fracture of the water-blocking rock mass follows the order of stress-field displacement-field seepage-field. Further, the matching pattern of the information shows that the stress field increased first and then decreased, the displacement field always increased, and the seepage field increased first and then decreased.

Rock mass structure analysis based on seismic velocity and attenuation images

2000 ◽  
Vol 45 (13) ◽  
pp. 1211-1216 ◽  
Author(s):  
Xu Chang ◽  
Yike Liu ◽  
Hui Wang ◽  
Xing Gao
Keyword(s):  
Rock Mass ◽  
Structure Analysis ◽  
Seismic Velocity ◽  
Rock Mass Structure

SEISMIC CLASSIFICATION OF ROCK MASS QUALITIES*

1979 ◽  
Vol 27 (2) ◽  
pp. 409-442 ◽  
Author(s):  
B. SJOGREN ◽  
A. OFSTHUS ◽  
J. SANDBERG
Keyword(s):  
Rock Mass

Evaluation Method for Rock Mass Structure Integrity Based on Borehole Multivariate Data

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Jinchao Wang ◽  
Hanhua Xu ◽  
Wei Chen ◽  
Chuanying Wang ◽  
Zengqiang Han
Keyword(s):  
Rock Mass ◽  
Evaluation Method ◽  
Multivariate Data ◽  
Rock Mass Structure

Rock mass structure

1999 ◽  
pp. 48-86
Author(s):  
B. H. G. Brady ◽  
E. T. Brown
Keyword(s):  
Rock Mass ◽  
Rock Mass Structure

scholarly journals Automatic Classification of Microseismic Signals Based on MFCC and GMM-HMM in Underground Mines

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Pingan Peng ◽  
Zhengxiang He ◽  
Liguan Wang
Keyword(s):  
Rock Mass ◽  
Gaussian Mixture ◽  
Automatic Classification ◽  
Microseismic Monitoring ◽  
Underground Mines ◽  
Basic Step ◽  
Microseismic Data ◽  
Safety Risks ◽  
Microseismic Events

In order to mitigate economic and safety risks during mine life, a microseismic monitoring system is installed in a number of underground mines. The basic step for successfully analyzing those microseismic data is the correct detection of various event types, especially the rock mass rupture events. The visual scanning process is a time-consuming task and requires experience. Therefore, here we present a new method for automatic classification of microseismic signals based on the Gaussian Mixture Model-Hidden Markov Model (GMM-HMM) by using only Mel-frequency cepstral coefficient (MFCC) features extracted from the waveform. The detailed implementation of our proposed method is described. The performance of this method is tested by its application to microseismic events selected from the Dongguashan Copper Mine (China). A dataset that contains a representative set of different microseismic events including rock mass rupture, blasting vibration, mechanical drilling, and electromagnetic noise is collected for training and testing. The results show that our proposed method obtains an accuracy of 92.46%, which demonstrates the effectiveness of the method for automatic classification of microseismic data in underground mines.

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