Optimization of Height Prediction of Water Fractured Zone Based on ANN

Abstract:

This paper discussed the factors that affect the height of water fractured zone, and they were divided into primary and secondary factors, in order to construct a system that included factors that affect the height of water fractured zone. By using the BP neural network model, this paper chose the thickness of coal seam, roof lithology, tilt angle of coal seam, overburden hardness, working face length, advance speed and rock bulking to be the primary factors in order to simplify the model and accelerate speed. If the mining geological condition was clear, we could ignore the secondary factors. Prediction results showed that the simplified BP model could meet the accuracy of the height prediction of water fractured zone and the prediction method could provide technical guidance and a certain safety for coal mining under water.

• Periodical: Applied Mechanics and Materials (Volume 737)
• Pages: 422-427
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.737.422
• Online since: March 2015
• Authors: Zhong Ming Zhao, Yong Liang Liu*, Yi Li
• Keywords: Artificial Neural Network (ANN), Mining under Water, Prediction, Water Fractured Zone

References

[1] Kang Yong-hua. The effect of various mining methods on development law of water flowing fractured zone[J]. Journal of China Coal Society, 1998, 23( 3) : 262-266.

[2] Shi Long-qing, Yu Xiao-ge, Wei Jiu-chuan, et al. An analysis of factors affecting water-inrush from the number4 coal-seam roof conglome-rate in the Hua feng coal mine[J]. China University of Mining and Technology, 2010, 39( 1) : 26-31.

[3] Liu Yang. Research on relationship between different width of working face and height of water-flowing fractured zone[J]. Journal of Coal Mine Safety, 2010( 4) : 13-17.

[4] Liu Tian-quan. Influence of mining activities on mine rock mass and control engineering[J]. Journal of China Coal Society, 1995, 20(1): 1-5.

[5] Liu Tong-bin, Shi Long-qing, Han Jin, et al. Theoretical calculation of water flowing fracture height[J]. Journal of China Coal Society, 2006, 31( S) : 93-96.

[6] Xu Jia-lin, Wang Xiao-zhen, Liu Wen-tao, et al. Effects of primary key Stratum location on height of water flowing fracture zone[J]. Chinese Journal of Rock Mechanics and Engineering, 2009, 28( 2) : 380-385.

[7] Xu Qun. The method of nonlinear regression analysis[D]. Hefei: Hefei University of Technology, (2009).

[8] ZOU Hai, GUI He-rong, WANG Gui-liang, et al. Forecast about the height of water fractured zone under sublevel caving method[J]. Coal Geology & Exploration, 1998, 26(6): 43-46.