Study on stability classification of underground engineering surrounding rock based on concept lattice—TOPSIS

2020 ◽  
Vol 13 (10) ◽  
Author(s):  
Shuliang Wu ◽  
Jianhong Chen ◽  
Mengqi Wu
Keyword(s):  
Concept Lattice ◽  
Surrounding Rock ◽  
Underground Engineering ◽  
Stability Classification

Study & Design on Hanging Assembly Supporting Structure in the Underground Roadway

2012 ◽  
Vol 256-259 ◽  
pp. 1312-1315
Author(s):  
Hong Li Wang ◽  
Xian Tang Zhang ◽  
Wei Bao ◽  
Hu Xiu
Keyword(s):  
Failure Mechanism ◽  
Study Design ◽  
Surrounding Rock ◽  
Underground Engineering ◽  
Underground Tunnel ◽  
Supporting Structure ◽  
Rock Stability ◽  
Underground Roadway ◽  
Roadway Support

Based on a large number of surrounding rock stability, it sums up the classification of surrounding rock, nature and failure mechanism in the underground engineering. This paper introduces a underground tunnel hanging assembly support, the supporting structure can effectively solve the problem of insufficient rigidity of the roadway support, and provide a supporting structure with a certain amount of shrinkage.

scholarly journals Surrounding Rock Stability Classification Method of Coal Roadway Based on In Situ Stress

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yongjie Yang ◽  
Gang Huang ◽  
Lingren Meng
Keyword(s):  
Fuzzy Clustering ◽  
In Situ Stress ◽  
Surrounding Rock ◽  
Evaluation Indexes ◽  
Rock Stability ◽  
Coal Roadway ◽  
Fuzzy Clustering Method ◽  
Stability Classification

In situ stress is one of the most important factors affecting surrounding rock stability classification of coal roadway. Most surrounding rock stability classification methods do not fully consider the influence of in situ stress. In this paper, the author applied a fuzzy clustering method to the classification of surrounding rock stability of coal roadway. Taking into account the complexity of the classification of surrounding rock, some factors such as the strength of surrounding rock, in situ stress, the main roof first weighting interval, the size of the chain pillar, and the immediate roof backfilled ratio are selected as the evaluation indexes. The weight coefficients of these evaluation indexes are determined by unary regression and multiple regression methods. Using fuzzy clustering and empirical evaluation method, the classification model of surrounding rock stability of coal roadway is proposed, which is applied to 37 coal roadways of Zibo Mining Group Ltd., China. The result is in good agreement with practical situation of surrounding rock, which proves that the fuzzy clustering method used to classify the surrounding rock in coal roadway is reasonable and effective. The present model has important guiding significance for reasonably determining the stability category of surrounding rock and supporting design of coal roadway.

Fuzzy rule based classification method of surrounding rock stability of coal roadway using artificial intelligence algorithm

2021 ◽  
pp. 1-9
Author(s):  
Guangzhe Deng ◽  
Yingkai Fu
Keyword(s):  
Artificial Intelligence ◽  
Classification System ◽  
Local Minimum ◽  
Fuzzy Rule ◽  
Surrounding Rock ◽  
Coal Roadway ◽  
Artificial Intelligence Algorithm ◽  
Stability Classification ◽  
The Stability

As the stability of surrounding rock of coal roadway is affected by many factors, which makes the classification result hard to be consistent with the field practice. To solve the above problems, this paper proposes a method for the classification of stability of rock which is present in roadway of coal using the artificial intelligence algorithm. In this paper, the influencing factors of stability of rock which is present in roadway are analyzed, and seven influential factors are selected as classification indexes. To solve the problem of slow convergence speed and easy to fall into the local minimum of the back propagation artificial neural network (BP-ANN), an improved BP-ANN algorithm based on additional momentum and Levenberg-Marquardt optimization is proposed based on the analysis of the existing improved methods, which improves the convergence speed and avoids the local minimum effectively. Based on the learning model available, classification system based on fuzzy rule have been implemented and yielded better behavior in the situation of uncertain data sets. Finally, the stability classification model of surrounding rocks of coal roadway using BP-ANN was established in MATLAB environment, and the model was applied to 13 data samples of coal roadway for testing, with the identification rate of 92.3%. The experimental results verify that the method proposed based on fuzzy rule classification system in this paper has a high accuracy of type identification and is applicable to the stability classification of surrounding rock in the coal roadway.

Research Status and Development Trends of Roadway Surrounding Rock Stability Classification

2014 ◽  
Vol 580-583 ◽  
pp. 1352-1357 ◽  
Author(s):  
Ren Liang Shan ◽  
Xiang Song Kong ◽  
Jian Liu ◽  
Jian Fang Li ◽  
Yao Bai ◽  
...  
Keyword(s):  
New Technology ◽  
Surrounding Rock ◽  
Development Trends ◽  
Research Status ◽  
New Methods ◽  
Rock Stability ◽  
Safe Production ◽  
Stability Classification

Stability classification of roadway surrounding rock is of great significance as the prerequisite of safe production in roadway engineering. Based on a great number of issues analysis, the research status of roadway surrounding rock stability classification has been dissected from aspects of classification indexes and methods. At the end, it has put forward that choosing scientific and reasonable indexes, applying combined technology with more than three methods, using new technology and new methods are the three development trends of roadway surrounding rock stability classification research.

Application of Catastrophe Theory in Surrounding Rock Stability

2013 ◽  
Vol 712-715 ◽  
pp. 974-978
Author(s):  
Din Ge Kong ◽  
Kai Hu
Keyword(s):  
Catastrophe Theory ◽  
Surrounding Rock ◽  
Underground Engineering ◽  
Rock System ◽  
Instability Problem ◽  
Rock Stability ◽  
Highly Nonlinear ◽  
Practical Engineering ◽  
Simplified Mechanical Model ◽  
Catastrophic Model

Surrounding rock system of underground engineering is highly nonlinear, and there is no unified cognition for its stability criteria. Introduces the basic principle of catastrophe theory, focusing on the cusp catastrophic model, build a simplified mechanical model for the surrounding rock, and the instability of surrounding rock of the cusp catastrophic model is obtained. In practical engineering, it is show that catastrophe theory is an effective method to study the instability problem of the tunnel.

Sign in / Sign up

Export Citation Format

Share Document