Intelligent Method Application in FuXi Tunnel Surrounding Rock Stability Classification of Tongling-Huangshan

2010 ◽  
Author(s):  
Shengquan Zhou ◽  
Haiming Chen
Keyword(s):  
Surrounding Rock ◽  
Rock Stability ◽  
Stability Classification

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.

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.

scholarly journals Study and Application on Stability Classification of Tunnel Surrounding Rock Based on Uncertainty Measure Theory

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Hujun He ◽  
Yumei Yan ◽  
Cuixia Qu ◽  
Yue Fan
Keyword(s):  
Measure Theory ◽  
Influence Factors ◽  
Surrounding Rock ◽  
Uncertainty Measure ◽  
In Situ Data ◽  
Rock Stability ◽  
Practical Engineering ◽  
Stability Classification ◽  
Recognition Criterion

Based on uncertainty measure theory, a stability classification and order-arranging model of surrounding rock was established. Considering the practical engineering geologic condition, 5 factors that influence surrounding rock stability were taken into account and uncertainty measure function was obtained based on the in situ data. In this model, uncertainty influence factors were analyzed quantitatively and qualitatively based on the real situation; the weight of index was given based on information entropy theory; surrounding rock stability level was judged based on credible degree recognition criterion; and surrounding rock was ordered based on order-arranging criterion. Furthermore, this model was employed to evaluate 5 sections surrounding rock in Dongshan tunnel of Huainan. The results show that uncertainty measure method is reasonable and can have significance for surrounding rock stability evaluation in the future.

scholarly journals A Novel Model of the Ideal Point Method Coupled with Objective and Subjective Weighting Method for Evaluation of Surrounding Rock Stability

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Yingchao Wang ◽  
Ning Zhao ◽  
Hongwen Jing ◽  
Bo Meng ◽  
Xin Yin
Keyword(s):  
Present Model ◽  
Ideal Point ◽  
Surrounding Rock ◽  
Point Method ◽  
Good Prospect ◽  
Weighting Method ◽  
Rock Classification ◽  
Rock Stability ◽  
The Ideal

The classification of surrounding rock stability is the critical problem in tunneling engineering. In order to decrease engineering disasters, the surrounding rock stability should be accurately evaluated. The ideal point method is applied to the classification of surrounding rock stability. Considering the complexity of surrounding rock classification, some factors such as rock uniaxial compressive strengthen, integrality coefficient of rock mass, the angle between tunnel axis and the main joint, joints condition, and seepage measurement of groundwater are selected as evaluation indices. The weight coefficients of these evaluation indices are determined by the objective and subjective weighting method, consisting with the delphi method and the information entropy theory. The objective and subjective weighting method is exact and reliable to determine the weights of evaluation indices, considering not only the expert’s experiences, but also objectivity of the field test data. A new composite model is established for evaluating the surrounding rock stability based on the ideal point method and the objective and subjective weighting method. The present model is applied to Beigu mountain tunnel in Jiangsu province, China. The result is in good agreement with practical situation of surrounding rock, which proves that the ideal point method used to classify the surrounding rock in tunnels is reasonable and effective. The present model is simple and has very strong operability, which possesses a good prospect of engineering application.

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.

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.

Design and Field Test of Bolt-Mesh-Cable Support of Extraction Drift in Soft Thick Seam with a Large Angle

2011 ◽  
Vol 243-249 ◽  
pp. 3565-3571
Author(s):  
Dong Ming Guo ◽  
Jing Zhao Zhuang ◽  
Yi Zhang ◽  
Yan Bin Wang ◽  
Ren Shu Yang
Keyword(s):  
Large Angle ◽  
Support Effect ◽  
Surrounding Rock ◽  
Surface Load ◽  
Thick Seam ◽  
Rock Stability ◽  
Ground Pressure ◽  
Geological Conditions ◽  
Stability Classification ◽  
Bolt Support

Considering the poor support results of extraction drift in soft thick seam with a large angle in Dujiacun Mine, and there’s no similar design in such engineering geological conditions. Firstly, determined surrounding rock stability classification of the drift and obtained that roadway surrounding rock of this mine is type. According to the approximate range of this type roadway surrounding rock, selected parameters of bolt support, then using FLAC3Dsoftware simulated support effect of the roadway with different parameters of bolt support, analyzed the extent of the support effect of various parameters. The simulation results show that the optimal program is φ2200mm round steel bolt in the roof andφ2500mm equal strength thread steel in the two sides. Monitoring results of ground pressure displacement of surface, load of bolt and amount of roof separation show that bolt-mesh-cable support is safe and effective.

Sign in / Sign up

Export Citation Format

Share Document