Research on Prediction and Optimization of Slope Deformation in Mining Area
DOI: 10.23977/erej.2020.040110 | Downloads: 10 | Views: 1751
Author(s)
Tianlong Wang 1, Hairui Zhang 2, Xiaorui Tao 3, Wei Chu 1
Affiliation(s)
1 College of Civil Engineering & Architecture, China Three Gorges University, Yichang, 443002, China
2 College of Science, China Three Gorges University, Yichang, 443002, China
3 College of Economics & Management, China Three Gorges University, Yichang, 443002, China
Corresponding Author
Tianlong WangABSTRACT
In this paper, a total of 25 periods of data from 3# monitoring points in the direction of the main slide of the slope were selected for model prediction accuracy validation. According to the volatility of the slope deformation detection data in the mining area, the slope deformation were predicted by three methods: conventional GM(1,1) model, the Autoregressive Integrated Moving Average model and BP neural network.
KEYWORDS
Deformation prediction, GM(1,1), ARIMA, BP neural networkCITE THIS PAPER
Tianlong Wang, Hairui Zhang, Xiaorui Tao, Wei Chu, Research on Prediction and Optimization of Slope Deformation in Mining Area. Environment, Resource and Ecology Journal (2020) 4: 66-69. DOI: http://dx.doi.org/10.23977/erej.2020.040110.
REFERENCES
[1] Wei Hanbo, Gao Qian. Application of Grey Theory in Prediction of Slope Rock Deformation [J]. Non-ferrous Metals (Mining Section), 2008 (2): 31-33,44.
[2] Ding Lihong. Research on slope stability based on improved grey relational analysis and analytic hierarchy process [J]. Rock and Soil Mechanics, 2011, 32 (11): 3437-3441.
[3] Liu Chun, Du Junsheng, Wang Jingkun. Slope stability prediction based on grey relational analysis theory [J]. Chinese Journal of Underground Space and Engineering, 2017, 13 (5): 1424-1430.
[4] Luo Dang, Liu Sifeng. Grey model GM (1,1) optimization [J]. Chinese Engineering Science, 2003, 5 (2): 168-172.
[5] Li Miao. Dam deformation prediction model based on GK(1,1)-KC [J]. Science Technology and Innovation, 2019, (19): 29-30.
[6] Fan Xinyu, Yang Tianjun, Gao Kai et al. Application of BP neural network model in the prediction of high slope deformation in reservoir area [J]. Northwest Hydropower, 2017, (1): 72-74.
[7] Feng Tengfei, Liu Xiaosheng, Zhong Yu, etc. IGM-LSSVM model for slope deformation prediction in mining area [J]. Metal Mine, 2019, (3): 168-172.
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