Prediction of Top-Coal Caving and Drawing Characteristics Using Artificial Neural Networks in Extremely Thick Coal Seam

Abstract:

Based on the feature of large thickness and poor drawing characteristics in extremely thick coal seam top-coal caving method, combined with numerous practical examples analyses, the primarily six factors influence the drawing characteristics were found out which are mining depth, coal seam strength, joint crack development, parting thickness in top-coal, caving ratios, immediate roof filling coefficient. According to 45 typical top-coal caving in extremely thick coal seam samples, the prediction of top-coal caving and drawing characteristics based on artificial neural networks was established and training samples and testing samples was determined. Use SPSS statistical software training the network model. Then select No. 9 coal seam first mining area of Tiaohu mine as the application case. The drawing property was forecast according to the established network model. Application results show that the use of artificial neural networks for top-coal caving and drawing characteristic prediction is effective and feasible.

• Periodical: Applied Mechanics and Materials (Volume 743)
• Pages: 612-616
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.743.612
• Online since: March 2015
• Authors: J.H. Yu, De Bing Mao
• Keywords: Artificial Neural Network (ANN), Caving Characteristic, Drawing Characteristic, Extremely Thick Coal Seam, Prediction, Top-Coal

References

[1] Wang Jin-hua. Fully mechanized top-coal caving mining is the effective access to solve difficult problems in thick seam mining, J. Coal Science and Technology. 33(2) , 1-6, (2005).

DOI: 10.1016/j.ijmst.2022.08.010

[2] Meng Xian-rui, Wang Hong-peng, Liu Chao-hui. Selection Principle and Development Status of Thick Seam Mining Methods in China, J. Coal Science and Technology. 37(1), 39-44, (2009).

[3] Fan Shijun, Hu Xuejun. The classification of top coal capability and its application in Lu an coalmine, J. Journal of China Coal Society. 02, 177-181, (2005).

[4] Zhang Fei, Wang Ye, Fan Wensheng. Research of top coal caving and drawing characteristics of thick seam based on discrete element, J. Industry and Mine Automation. 02, 56-58, (2010).

[5] Song Xuanmin, Kang Tianhe, Le Zhongming, et al. Study on influence factors of top coal cavibility, J. Ground pressure and strata control. 21, 85-88+198, (1995).

[6] Lv Mengjiao. Roof-coal Falling Characteristics Analysis in Fully-mechanized Caving, J. Shanxi coal. 03, 20-23, (2009).