本文關鍵詞： 開采沉陷 模矢法 求參 概率積分法 移動變形預計　出處：《安徽理工大學》2015年碩士論文　論文類型：學位論文

【摘要】：開采沉陷預計是礦山開采沉陷的主要研究課題之一,做好開采沉陷預計工作并利用精確可靠的預計結果指導實踐開采,對開采沉陷有著至關重要的作用。而地表移動變形參數是開采沉陷預計的基礎,其取值的準確性決定了地表移動變形的預計精度。 本文著重研究,如何根據地表移動觀測站實測資料求取地表移動變形參數；并在參數解算的基礎上,利用概率積分法預計模型進行地表移動變形預計。本文根據所述理論和方法,以Matlab7.10.0(R2010a)為開發(fā)平臺,編寫“開采沉陷預計與求參一體化系統(tǒng)”軟件。 本文在綜合分析多種地表移動變形參數解算方法的基礎上,利用模矢法(Pattern Search)解算地表移動變形參數。模矢法解決了利用任意形狀工作面開采時的實測資料求取參數的問題。通過對地表移動觀測站進行的預計值與實測值的對比分析求參效果,可知模矢法解算的地表移動變形參數準確、可靠。同時實現了該方法的計算機編程,提高了計算速度和效率。 在詳細研究概率積分法原理的基礎上,本文采用Matlab7.10.0(R2010a)對開采沉陷預計進行了計算機編程。實現了地表移動盆地最大值預計和主斷面上的移動變形預計,以及地表任意點的移動變形預計,并完成了主斷面上五種特性曲線二維成圖,地表下沉盆地與水平移動的三維可視化。經過實例對比分析,該模型的預計值與實測值吻合較好。
[Abstract]:The prediction of mining subsidence is one of the main research topics of mining subsidence. The parameters of surface movement and deformation are the basis of the prediction of mining subsidence, and the accuracy of the values determines the prediction accuracy of surface movement and deformation. This paper focuses on how to obtain the deformation parameters of the surface movement based on the measured data of the ground movement observation station, and based on the calculation of the parameters, According to the theory and method mentioned above, the software of integrated system of mining subsidence prediction and parameter seeking is compiled on the platform of Matlab 7.10.0 / R2010a. In this paper, based on the comprehensive analysis of various methods for calculating the parameters of surface movement and deformation, The mode-vector method is used to calculate the deformation parameters of the surface movement. The mode-vector method is used to solve the problem of obtaining the parameters by using the measured data of the mining face with arbitrary shape. The predicted value and the measured value of the observation station of the surface movement are obtained by means of the mode-vector method. Comparing and analyzing the effect of parameter, It is known that the parameters of surface movement and deformation calculated by modular vector method are accurate and reliable, and the computer programming of this method is realized, and the calculation speed and efficiency are improved. On the basis of studying the principle of probabilistic integration method in detail, this paper uses Matlab 7.10.0 / R2010a to program the prediction of mining subsidence, and realizes the prediction of maximum value of surface moving basin and the prediction of moving deformation on main section. And the prediction of movement and deformation at any point of the earth's surface, and the 2D mapping of five characteristic curves on the main section, the 3D visualization of the subsidence basin and the horizontal movement of the ground surface are completed. Through the comparison and analysis of examples, the predicted values of the model are in good agreement with the measured values.
【學位授予單位】：安徽理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TD325

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