基于Data Mining技术的平顶山矿区不同赋存深度采动煤岩体巷道稳定性研究

doi:10.13722/j.cnki.jrme.2017.1120

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Abstract In order to explore the stabilities and differences of roadways in mining coal rock at different depths， the multiple linear regression and neural network model based on the Data Mining technology was used to perform the formula fitting and the weight analysis to the influencing factors of roof separation according to the monitoring data at different depths(700 m，850 m，1 050 m) within the area of Pingdingshan mine. The time series predictions to the roof separation and bolt stress have been carried out and the range of mining disturbance，roadway deformation and stress variation characteristics at different depths are revealed preliminarily. The distance from the mining face and the bolt stress was found to have the greatest influence on the roof separation，but the weights of them decrease by nearly 50% with the increasing of depth. The time series predictions of the roof separation and bolt stress show that the separation displacement of roadway roof and the bolt stress increase sharply at the depth of 1 050m with the advancement of mining face. At this depth，the predicted maximum value of bolt stress is 15 MPa，which is 2–3.5 times of the other two roadways，and the predicted maximum value of the roof separation displacement is 80 mm，which is 6–8 times of the other two roadways. With the increasing of depth，the variation of deformation and stress of roadways caused by the mining disturbance are more and more intensified， indicating that the close monitoring of stability and the proper measures of stability control should be applied for the roadway at depth over 1 000 m during the mining process.

Key words： mining engineering data mining depth roadway stability abscission layer deformation bolt stress

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	Articles by authors
	PENG Yuan1
	2
	ZHANG Ru1
	2
	WANG Man3
	4
	GAO Mingzhong1
	2
	XU Xiaolian5
	LI Anqiang1
	2
	ZHANG Zetian1
	2
	JIA Zheqiang1
	2

Cite this article:

PENG Yuan1,2,ZHANG Ru1, et al. Application of Data Mining in assessing the roadway stability of mining coal rock at different depths of mines in Pingdingshan#br#[J]. , 2018, 37(4): 949-960.

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http://www.rockmech.org/EN/10.13722/j.cnki.jrme.2017.1120 OR http://www.rockmech.org/EN/Y2018/V37/I4/949

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