本文選題：開采沉陷　切入點：堤壩下采煤　出處：《中國礦業(yè)大學》2015年碩士論文　論文類型：學位論文

【摘要】：論文以堤壩下采煤為主要研究對象,以堤壩下采煤堤壩沉陷規(guī)律為主要研究內(nèi)容,以鮑店礦十采區(qū)為原型,通過現(xiàn)場實測、理論分析等手段,主要獲得以下結(jié)論:(1)研究了鮑店礦十采區(qū)在進行堤壩下采煤時所引起的堤壩移動變形規(guī)律,掌握了堤壩下采煤堤壩的動靜態(tài)沉陷規(guī)律,當工作面推進到河堤下時,堤壩下沉劇烈且集中,此時應(yīng)對堤防加強巡視,防止險情發(fā)生。分別獲得了鮑店礦十采區(qū)3上和3下工作面開采地表移動的概率積分法預(yù)計參數(shù)。堤壩移動變形與地表移動變形基本一致,基本上隨著地表的變形而變形。(2)采用各種線性以及非線性模型研究了開采沉陷地表下沉數(shù)據(jù)插值的方法。研究結(jié)果表明,三次樣條曲線函數(shù)模型能夠較好的對少量測點數(shù)據(jù)的丟失進行插值。BP神經(jīng)網(wǎng)絡(luò)模型能夠充分利用前期的觀測數(shù)據(jù),對較多測點的丟失數(shù)據(jù)進行插值,且效果很好。(3)充分利用鮑店礦十采區(qū)已有的8個工作面的觀測數(shù)據(jù),采用合適的插值方法,將傾向觀測線的下沉數(shù)據(jù)進行疊加,獲得超充分采動時的地表移動規(guī)律,并回歸分析了傾向線寬深比與下沉系數(shù)的關(guān)系。結(jié)果表明,地表下沉系數(shù)與寬深比之間呈二次函數(shù)關(guān)系。當寬深比逐漸增大時,下沉系數(shù)逐漸增大;當寬深比達超過一定值后,下沉系數(shù)趨于某一定值。(4)分析了概率積分法邊緣誤差的原因,研究了堤壩下采煤煤柱上方預(yù)計下沉值的修正模型,獲得了鮑店礦十采區(qū)煤柱上方預(yù)計下沉值的修正公式及適用范圍。(5)根據(jù)103上08工作面具體地質(zhì)采礦條件,結(jié)合前面的研究成果,確定了概率積分法預(yù)計參數(shù),并進行了開采沉陷預(yù)計,給出了地表下沉、傾斜、曲率、水平移動、水平變形等值線圖,分別分析了103上08工作面開采后對河堤產(chǎn)生的影響。(6)介紹了堤壩下采煤的綜合治理措施和堤防治理技術(shù)。結(jié)合103上08工作面開采的實際情況,提出了適用于該工作面開采的堤防綜合治理措施。
[Abstract]:This paper takes coal mining under dike as the main research object, takes the law of mining dike subsidence under dike as the main research content, and takes Baodian mining area as prototype, through field measurement, theoretical analysis and so on. The main conclusions are as follows: (1) the law of movement and deformation of the dike caused by mining under the dike in Baodian No. 10 mining area is studied, and the dynamic and dynamic subsidence law of the mining dyke under the dike is mastered. When the working face is pushed under the river embankment, The dike subsidence is intense and concentrated, at this time should strengthen the inspection of the embankment, The probabilistic integral method for mining surface movement in No. 3 and 3 working faces of Baodian Coal Mine is obtained respectively. The movement and deformation of embankment and dam are basically consistent with those of surface movement. The interpolation method of mining subsidence data is studied by using various linear and nonlinear models. The results show that, The cubic spline curve function model can interpolate the data loss of a small number of measured points. BP neural network model can make full use of the previous observation data to interpolate the lost data of more measured points. And the effect is very good. (3) make full use of the observed data of 8 working faces in Baodian No. 10 mining area, adopt the appropriate interpolation method, stack the subsidence data of the inclined observation line, and obtain the law of surface movement in the case of super full mining. The regression analysis shows that there is a quadratic function relationship between the slanting coefficient and the ratio of width to depth. When the ratio of width to depth increases gradually, the subsidence coefficient increases gradually, and when Prida exceeds a certain value, the subsidence coefficient increases gradually. The reason of margin error of probabilistic integration method is analyzed, and the modified model of predicted subsidence value above coal pillar under dike is studied. According to the concrete geological and mining conditions of No. 08 face in No. 103 face, the prediction parameters of probability integration method are determined according to the specific geological mining conditions of No. 10 coal pillar in Baodian Coal Mine. The mining subsidence prediction is carried out, and the contour maps of surface subsidence, tilt, curvature, horizontal movement and horizontal deformation are given. This paper analyzes the influence of mining on river embankment in 103-Shang08 face, respectively. It introduces the comprehensive treatment measures and embankment treatment technology under embankment, and combines with the actual situation of mining in 103-Shang08 face. The comprehensive treatment measures for dikes suitable for mining face are put forward.
【學位授予單位】：中國礦業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TD327

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