Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prediction of Coal Mine Floor Water Invasion Based on Catastrophe Theory
Coal mine water inversion is an important problem in the process of mining under pressure; the water burst mechanism must be well studied. In this paper, the catastrophe theory was introduced in the coal mine floor confined water invasion destruction. According to the obtained data, the catastrophe experiment was built based on the detected floor stress, shift and destruction under the effect of ground pressure, mining activity and water pressure, the singular point equation and catastrophe model were also established. This model was applied to the floor water invasion prediction of a coal mine in Fengfeng mining area, and got the floor water invasion zone map of each coal seam. Finally, we provide scientific basis for guiding water control and mining under pressure.
Prediction of Coal Mine Floor Water Invasion Based on Catastrophe Theory
Coal mine water inversion is an important problem in the process of mining under pressure; the water burst mechanism must be well studied. In this paper, the catastrophe theory was introduced in the coal mine floor confined water invasion destruction. According to the obtained data, the catastrophe experiment was built based on the detected floor stress, shift and destruction under the effect of ground pressure, mining activity and water pressure, the singular point equation and catastrophe model were also established. This model was applied to the floor water invasion prediction of a coal mine in Fengfeng mining area, and got the floor water invasion zone map of each coal seam. Finally, we provide scientific basis for guiding water control and mining under pressure.
Prediction of Coal Mine Floor Water Invasion Based on Catastrophe Theory
Shao, Aijun (Autor:in) / Li, Zhiguang (Autor:in) / Peng, Jianping (Autor:in) / Zuo, Liqiong (Autor:in) / Cao, Jingjie (Autor:in)
01.06.2012
274708 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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