Analysis on Slope Stability of Open Pit Coal Mine Based on Grey Support Vector Machine

2016 ◽  
Vol 10 (9) ◽  
pp. 169-178
Author(s):  
Liu Bo ◽  
Zhang Peng ◽  
Zhang Jianwei
Keyword(s):  
Support Vector Machine ◽  
Slope Stability ◽  
Coal Mine ◽  
Open Pit ◽  
Support Vector

Effects of groundwater level on slope stability of open pit coal mine

2021 ◽  
Author(s):  
Eko Santoso ◽  
Rexy Fernando ◽  
M. Zainal Kahfi
Keyword(s):  
Slope Stability ◽  
Coal Mine ◽  
Groundwater Level ◽  
Open Pit

Study on the Soil Slope Stability Based on the Support Vector Machine

2011 ◽  
Vol 291-294 ◽  
pp. 2746-2749
Author(s):  
Yun Fei Wang ◽  
Li Ping Wang ◽  
Fu Ping Zhong ◽  
Huai Bao Chu
Keyword(s):  
Complex System ◽  
Support Vector Machine ◽  
Slope Stability ◽  
Easy Access ◽  
Support Vector ◽  
Soil Slope ◽  
Multiple Factors ◽  
Project Construction ◽  
The Stability ◽  
Important Basis

The stability of the slope is a complex system affected by many factors, with the characteristics of randomness and fuzziness. In the paper established the model of the support vector machine, which make use of the support vector machine considering the multiple factors affected the slope stability, and select the indicators with the characteristic of common and easy access. Through the actual inspection verified the validity of the model, shows that the model can be well applied to the analysis of slope stability with similarity, it may provide an important basis for the slope project construction.

Numerical Simulation of Slope Stability Analysis of Open Pit Coal Mine Based on MIDAS/GTS

2012 ◽  
Vol 256-259 ◽  
pp. 193-197
Author(s):  
Chong Xian Liu ◽  
Yong Tao Gao
Keyword(s):  
Slope Stability ◽  
Coal Mine ◽  
Mining Area ◽  
Slope Instability ◽  
Open Pit ◽  
Shanxi Province ◽  
North Slope ◽  
Mining District ◽  
The North

Based on mining area end slope stability evaluation engineer- ing of Pingshuo East open pit coal mine in Shanxi Province, ac- cording to the status quo of the North Slope of the first mining district of the East open pit coal mine as well as engineering g- eological investigation results, this article selected a represen- tative cross-section of the North Slope,adopted processing fu- nctions of finite element analysis software MIDAS/GTS, and re- spectively analyze slope stability under three conditions of the mining area of the initial excavation,backfilling and disposal,a- nd follow-up excavation.The paper concluded that Initial exca- vation caused slope instability; backfill slope is stable after di- sposal; follow-up excavation has essentially no effect on slope stability. The establishment and analysis are much closer to t- he real situation, objectively reflect the distribution of slope s- tability of the East open pit coal mine, and provide a design for open pit production safety.

Numerical Simulation of Slope Stability in the First Mining of Open-Pit Coal Mine

2013 ◽  
Vol 807-809 ◽  
pp. 2371-2377
Author(s):  
Guang Yi Sun ◽  
Xiao Luo
Keyword(s):  
Numerical Simulation ◽  
Steady State ◽  
Slope Stability ◽  
Coal Mine ◽  
Paper Analysis ◽  
Open Pit ◽  
Stress And Strain ◽  
Safety Coefficient ◽  
Mine Slope ◽  
Mining Slope

This paper analysis open-pit coal mine slope stability in the first mining with FLAC3D, reveal the mechanism of slope deformation, through analysis the stress and strain nephogram of model ZK8 of the first mining slope, and calculation safety stability coefficient, finally concluding stope slope of the first mining occur slip as circular form under their own gravity. The safety factor of model ZK8 is more than stope slope safety coefficient 1.20, slope is in steady state, obtained the accurate and reliable analysis results of stability.

Application of RS-SVM in Coal Mine Fire Warning System

2016 ◽  
Vol 693 ◽  
pp. 1331-1338
Author(s):  
Hua Ping Zhou ◽  
Bo Jie Xiong ◽  
Cheng Jun Wang
Keyword(s):  
Support Vector Machine ◽  
Rough Set ◽  
Coal Mine ◽  
Warning System ◽  
Support Vector ◽  
Representation System ◽  
Mine Fire ◽  
Rule Set ◽  
Knowledge Representation System ◽  
Coal Mine Fire

In order to reduce the false alarm rate in coal mine fire warning system, we apply information fusion technology to the system and propose a fire forecast algorithm based on Rough Set Support Vector Machine ( RS-SVM ). Firstly, we map the feature description of coal mine fires to the knowledge representation system described by rough set; Secondly, we discrete the continuous attributes and eliminate the redundant information for attribute reduction to form a rule set of this knowledge representation system; At last, we use the above rule set as the training sample to optimize the parameters for the fire warning support vector machine. The experimental results show that the accuracy of the algorithm is very high. It can make timely and accurate prediction of coal mine fire.

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