Prediction of Instability and Mechanism of Multi-Factor Comprehensive Action on Mine Goaf

Wei Jian Yu; Shao Hua Du; Wei Jun Wang

doi:10.4028/www.scientific.net/JERA.13.39

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Prediction of Instability and Mechanism of Multi-Factor Comprehensive Action on Mine Goaf

Abstract:

In allusion to phenomenon of large instability of underground goaf, research is carried on prediction of instability and mechanism of multi-factor comprehensive action. Firstly, according to large number of examples of instability disaster in mines at home and abroad, influence factors of goaf stability was analyzed, including characteristics of surrounding rock, conditions of engineering geology, engineering properties, structure parameters of goaf and other artificial mining and time etc; then, using BP neural network to establish the comprehensive function matrix RSE, and putting forward a prediction index F_i, this index can be real-time tracking on the actual change conditions of surrounding rock scene in mining goaf, showing the comprehensive action results of each factor on steady state of underground goaf engineering system; finally, on the basis of 36 samples, the stable value and interval value of the corresponding multi-factor comprehensive action index F_i can be obtained after calculation by using comprehensive function matrix RSE. An actual example showed that, value of multi-factor comprehensive action index F_i was-0.8159 in goaf of an iron mine, which was in instability state.

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Periodical:

International Journal of Engineering Research in Africa (Volume 13)

Pages:

39-48

DOI:

https://doi.org/10.4028/www.scientific.net/JERA.13.39

Citation:

Cite this paper

Online since:

December 2014

Authors:

Wei Jian Yu, Shao Hua Du, Wei Jun Wang

Keywords:

GOAF, Mechanism of Action, Multi-Factor, Prediction of Instability, Underground Mining

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References

[1] WANG L.G., HUANG R.Q., WANG Y.j.. The stability problem of rock mechanics system and its application. Beijing: Geological Publishing House, 1998.

Google Scholar

[2] ZHANG L.m., WANG Z.Q., ZHANG X.J., et al.. Fold catastrophe model of rock dynamic destabilization. Chinese Journal of Geotechnical Engineering, 31(4) :552–557(2009)

Google Scholar

[3] YAN C.B., XU G.Y.. Analysis on instability of the top pillar between overlap underground chambers induced by dynamic loadings with catastrophe theory. Engineering Mechanics, 24(4) : 46-51 (2007)

Google Scholar

[4] WANG J., SHANG X.C., LIU H., et al.. Study of fracture mechanism and catastrophic collapse of strong roof strata above the mined-out area. Journal of China Coal Society, 33(8): 850-855(2008)

Google Scholar

[5] GAO Q.. Instability forecast and risk evaluation of the surrounding rock masses for a large space stop. Chinese Journal of Geotechnical Engineering, 22(5): 523-527(2000)

Google Scholar

[6] Xie H.P.. Fractal-Rock Mechanical Introduction. Beijing: Science Press，1996.

Google Scholar

[7] Xie H.P., Sun H.Q., Feng Z.G.. Study on generation of rock surface by using fractal interpolation. International Journal of Solids and Structures, 38(3):5765-5787(2001)

DOI: 10.1016/s0020-7683(00)00390-5

Google Scholar

[8] Yu W.J., Zhai S.H., Gao Q.. Stability evaluation indexes of deep stope pillar and roadway surrounding rock, Disaster Advances, 5(4):120-126(2012)

Google Scholar

[9] YU W.J., GAO Q., ZHANG N., WANG P.. Deformation monitoring and stability analysis for potential slope of high and steep open pit , Disaster Advances, 5(4): 1474-1480 (2012)

Google Scholar

[10] Yu W.J., WANG W.J., WU Z.J.. Analysis on activation laws caused by coal mining in fault footwall and its criterion, Journal of coal science & engineering, 18(2):123-128(2012)

DOI: 10.1007/s12404-012-0203-z

Google Scholar

[11] Yu W.J., Gao Q., Han Y., et al.. Non-linear coupling classification technique of surrounding rock mass and its application in Jingchuan Mine．Chinese Journal of Geotechnical Engineering,30(5):663-669(2008)

Google Scholar

[12] Barton N., Lien R., Lunde J.. Engineering classification of rock messes for the design of tunnel support．Rock Mech,6(4):189-236(1974)

Google Scholar

[13] Jiu Y.X., Jia L.L., Li H.N., et al.. Goaf stability evaluation based on the relationship matrix and membership function．China Tungsten Industry,29(4):16-19(2014)

Google Scholar