DocumentCode :
2394799
Title :
Prediction of Subsidence in Steep Seam Mining Based on Probability Integral
Author :
Zhang, Zhao-Jiang
Author_Institution :
Hebei Univ. of Eng., Handan, China
Volume :
1
fYear :
2010
fDate :
26-28 Aug. 2010
Firstpage :
151
Lastpage :
153
Abstract :
The deficiency of subsidence prediction in steep seam mining by the theory of equivalent effect is analyzed: more than 1/2 area of the subsidence basin is caused by the mining of downhill horizontal seam because of the great difference between r1 and r2; r2 is too small that the sinking curve is almost vertical. According to the characteristic of that mining depth is quite different in steep seam mining, a new prediction model with variable r is put forward based on the probability integral model. The model is better than others for steep seam mining and can be adopted widely.
Keywords :
geotechnical engineering; integral equations; mining industry; prediction theory; probability; equivalent effect theory; probability integral method; steep seam mining; subsidence basin; subsidence prediction method; Data mining; Mechanical factors; Media; Numerical models; Predictive models; Presses; Soil; major influencing radius; probability integral method; steep seam; unit mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-7869-9
Type :
conf
DOI :
10.1109/IHMSC.2010.45
Filename :
5590551
Link To Document :
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