A slope stability analysis for southern Wuchangping tin mine
This paper aims to provide a slope stability analysis for the southern part of Wuchangping mine. The methods of limit equilibrium analysis, finite element simulation and neural network were used to study the stability of the southern slope. The preventive measures, such as bolt reinforcement, draina...
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doaj-b2ac916bfba84ed9ac8d7f40ae2622192020-11-25T01:52:00ZengJVE InternationalJournal of Vibroengineering1392-87162538-84602019-06-01214998101410.21595/jve.2019.2038120381A slope stability analysis for southern Wuchangping tin minePing Zou0Ximo Zhao1Zhonghua Meng2Aibing Li3Zhengyu Liu4Wanjie Hu5School of Resource and Safety Engineering, Central South University, Changsha 410083, Hunan, ChinaChangsha Institute of Mining Research Co., Ltd, Changsha, 410012, Hunan, ChinaChangsha Institute of Mining Research Co., Ltd, Changsha, 410012, Hunan, ChinaChangsha Institute of Mining Research Co., Ltd, Changsha, 410012, Hunan, ChinaChangsha Institute of Mining Research Co., Ltd, Changsha, 410012, Hunan, ChinaChangsha Institute of Mining Research Co., Ltd, Changsha, 410012, Hunan, ChinaThis paper aims to provide a slope stability analysis for the southern part of Wuchangping mine. The methods of limit equilibrium analysis, finite element simulation and neural network were used to study the stability of the southern slope. The preventive measures, such as bolt reinforcement, drainage system and so on were carried out. The results are as follows. The slope angle for the lower slope of moderately weathered granite and slightly weathered granite is recommended as 60°-65°. The slope angle for the layer where locates near the ground of full weathered granite is recommended as 30°-32°. When the thickness of fully weathered granite layer is less than 10 meters, the slope is still stable enough. The angle is recommended as 38°-40°. The results of evaluation and calculation obtained by the neural network are not different from those of the limit equilibrium method and finite element simulation. The neural network can accurately predict slope stability. The conclusions can provide useful reference for similar mines.https://www.jvejournals.com/article/20381slope engineeringstability analysisfinite element methodlimit equilibriumneural network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ping Zou Ximo Zhao Zhonghua Meng Aibing Li Zhengyu Liu Wanjie Hu |
spellingShingle |
Ping Zou Ximo Zhao Zhonghua Meng Aibing Li Zhengyu Liu Wanjie Hu A slope stability analysis for southern Wuchangping tin mine Journal of Vibroengineering slope engineering stability analysis finite element method limit equilibrium neural network |
author_facet |
Ping Zou Ximo Zhao Zhonghua Meng Aibing Li Zhengyu Liu Wanjie Hu |
author_sort |
Ping Zou |
title |
A slope stability analysis for southern Wuchangping tin mine |
title_short |
A slope stability analysis for southern Wuchangping tin mine |
title_full |
A slope stability analysis for southern Wuchangping tin mine |
title_fullStr |
A slope stability analysis for southern Wuchangping tin mine |
title_full_unstemmed |
A slope stability analysis for southern Wuchangping tin mine |
title_sort |
slope stability analysis for southern wuchangping tin mine |
publisher |
JVE International |
series |
Journal of Vibroengineering |
issn |
1392-8716 2538-8460 |
publishDate |
2019-06-01 |
description |
This paper aims to provide a slope stability analysis for the southern part of Wuchangping mine. The methods of limit equilibrium analysis, finite element simulation and neural network were used to study the stability of the southern slope. The preventive measures, such as bolt reinforcement, drainage system and so on were carried out. The results are as follows. The slope angle for the lower slope of moderately weathered granite and slightly weathered granite is recommended as 60°-65°. The slope angle for the layer where locates near the ground of full weathered granite is recommended as 30°-32°. When the thickness of fully weathered granite layer is less than 10 meters, the slope is still stable enough. The angle is recommended as 38°-40°. The results of evaluation and calculation obtained by the neural network are not different from those of the limit equilibrium method and finite element simulation. The neural network can accurately predict slope stability. The conclusions can provide useful reference for similar mines. |
topic |
slope engineering stability analysis finite element method limit equilibrium neural network |
url |
https://www.jvejournals.com/article/20381 |
work_keys_str_mv |
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