底板采動(dòng)破壞深度微震實(shí)時(shí)獲取與動(dòng)態(tài)預(yù)測(cè)及應(yīng)用研究
[Abstract]:With the increase of coal mining depth in China, the coal face floor is broken and the water inrush is increasing year by year. Not only floor heave deformation is easy to occur after mining failure of coal seam floor, but also the frame subsidence is easy to occur because of the sharp decrease of bearing strength, which makes it more difficult to move the frame. In addition, under the condition of mining with pressure, the mining failure of the floor reduces the thickness of the water barrier layer of the coal seam floor, which results in the decrease of the water resistance of the floor and increases the risk of the water inrush of the floor. Therefore, dynamic real-time acquisition and prediction of mining failure depth of coal seam floor plays an important role in studying the water resistance capacity of coal seam floor. Taking the risk of water inrush from No. 9 coal floor in Gongyi Mine of Pingshuo well, Shanxi Province, as the research object, this paper makes comprehensive use of technical means such as theoretical analysis, numerical simulation and microseismic monitoring to study the law of mining deformation and the depth of failure of coal seam floor. The main research results are as follows: (1) through theoretical analysis of mining stress state of coal seam floor, the variation law of supporting pressure and stress distribution and propagation law of rock mass strike are obtained, and the discrete element numerical simulation software is used. The evolution law of stress field and fracture field of coal seam floor during mining process is obtained. (2) the micro-seismic real-time monitoring of the mining process of No. 9 19106 coal face in Pingshuo Coal Mine Shanxi Province is carried out and the propagation law of micro-seismic wave is studied. The shortest distance clustering method is used to cluster, the Euclidean distance is used to represent the distance between microseismic events, and the distance between microseismic events is calculated to evaluate the degree of familiarity. Finally, a general model for real-time acquisition of mining failure depth of floor is constructed. (3) based on the unified strength theory, the universal formula for mining failure depth of floor is derived. In this paper, the sample set of floor mining failure depth measured in No. 9 coal mining face 19106 of Pingshuo mine is used. The intermediate principal stress parameter b is obtained and the mining failure depth formula suitable for No. 9 coal in Jinggong No. 1 Coal Mine is established. (4) based on the unascertained mathematical theory, the dynamic prediction of the floor mining failure depth is carried out. Based on the results of microseismic monitoring in Pingshuo Jinggong No. 1 Mine in Shanxi Province, four main influencing factors, such as mining depth, coal seam dip angle, mining thickness and structural influence degree, are selected as discriminant indexes by using unascertained clustering optimization method. The dynamic prediction model of mining failure depth of coal seam floor is established and verified. The results show that the dynamic prediction model of mining failure depth of coal seam floor is reliable and practical. It can be popularized and applied in similar mines. (5) the concept of dynamic water inrush coefficient is put forward and the possibility of water inrush on the floor of 19106 mining face is calculated. Based on the catastrophe theory and the results of microseismic monitoring, the thickness of the stable diaphragm is obtained, and the coefficient of dynamic water inrush is determined. It is applied to the evaluation of the possibility of water inrush in 19106 mining face of Pingshuo mine, Shanxi Province. The results show that the risk of water inrush is relatively small during the mining period of the working face Wei 19106.
【學(xué)位授予單位】:北京科技大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類號(hào)】:TD745
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