离子型稀土原地浸矿滑坡监测与预警模型研究
发布时间：2019-05-27 13:20
【摘要】：离子型稀土原地浸矿开采降低矿山坡体稳定性,影响矿山安全生产、资源回收率和经济效益。边坡监测与预警是防治矿山滑坡的重要方法,目前,国内外相关研究多以位移—时间特征曲线为基础,采用滑坡后验的手段开展预警模型研究,其应用具有局限性。本文以关西和东江稀土矿山为试验场地,以矿山坡体表面位移、内部孔隙水压力和土压力为研究参数,建立了滑坡预警模型,并结合工程实际,给出了参考安全阈值。主要研究工作如下:(1)以坡体表面位移为研究参数,建立滑坡变形阶段模型,评判边坡的整体稳定性;以孔隙水压力为研究参数,建立孔隙水压力模型,揭示负孔隙水压力的形成过程;以土压力为研究参数,将其与不平衡推力相联系,从内部分析坡体的稳定性。(2)关西稀土矿监测数据表明:在同一监测点坡体土压力先于表面位移增大,坡体监测参数由内而外发生变化;在同一测线上,监测点的表面位移、土压力均正相关,而孔隙水压力则与渗流有关,在稳定流中正相关,非稳定流中负相关。东江稀土矿监测数据表明:注液初期,坡体孔隙水压力和土压力主要由重力水产生。(3)对关西稀土矿坡体表面位移监测数据趋势拟合后,与坡体的变形阶段模型对比,发现各监测点的表面位移从蠕滑阶段直接过渡到稳定阶段,表明测线区域坡体基本处于稳定状态。对东江稀土矿坡体表面位移监测数据,运用经验模态分解法去噪处理,使坡体位移运动趋势更加明显,提前进行稳定性评判,结果表明,测线1坡体处于稳定阶段,测线2坡体处于滑动阶段。(4)以孔隙水压力等效水头到达坡体表面时作为预警值,建立了孔隙水压力预警模型,对东江稀土矿使用该模型计算得到预警值从测点①到测点⑥分别为68.0k Pa、20.0k Pa、31.5 k Pa、47.5 k Pa、31.0 k Pa、22.0 k Pa。(5)土压力计测量值与不平衡推力的截面应力相等,取安全系数为1.5时的土压力测量值作为预警值,建立土压力预警模型。对东江稀土矿使用该模型计算得到土压力预警值从测点①到测点⑥分别为57.85 k Pa、468.28 k Pa、467.68 k Pa、51.47 k Pa、35.13k Pa、53.23 k Pa。
[Abstract]:The in-situ leaching of ionized rare earth reduces the stability of mine slope and affects the safety of mine production, resource recovery rate and economic benefit. Slope monitoring and early warning is an important method to prevent and control mine landslides. At present, most of the related research at home and abroad is based on displacement-time characteristic curve, and adopts landslide posterior means to carry out early warning model research, and its application has limitations. In this paper, taking Guanxi and Dongjiang rare earth mines as test sites, taking the surface displacement of mine slope, internal pore water pressure and earth pressure as research parameters, the early warning model of landslide is established, and the reference safety threshold is given in combination with engineering practice. The main research work is as follows: (1) taking the surface displacement of slope body as the research parameter, the model of landslide deformation stage is established to evaluate the overall stability of slope; Taking pore water pressure as the research parameter, the pore water pressure model is established to reveal the formation process of negative pore water pressure. Taking the earth pressure as the research parameter, it is related to the unbalanced thrust, and the stability of the slope is analyzed from the interior. (2) the monitoring data of Kansai rare earth mine show that the earth pressure of the slope increases before the surface displacement at the same monitoring point. The monitoring parameters of slope body change from inside to outside. On the same line, the surface displacement and earth pressure of the monitoring point are positively correlated, while the pore water pressure is positively correlated with seepage, positive correlation in stable flow and negative correlation in unstable flow. The monitoring data of Dongjiang rare earth mine show that the pore water pressure and earth pressure of slope body are mainly produced by gravity water at the initial stage of liquid injection. (3) after fitting the monitoring data of slope surface displacement in Guanxi rare earth mine, it is compared with the deformation stage model of slope body. It is found that the surface displacement of each monitoring point changes directly from the creep stage to the stable stage, which indicates that the slope body in the measuring line area is basically in a stable state. Based on the monitoring data of slope surface displacement in Dongjiang rare earth mine, the empirical mode decomposition method is used to Denoise the slope body, which makes the displacement movement trend of slope more obvious and evaluates the stability in advance. The results show that the slope body of line 1 is in the stable stage. The measuring line 2 slope is in the sliding stage. (4) taking the pore water pressure equivalent water head as the early warning value when it reaches the surface of the slope body, the pore water pressure early warning model is established. Using this model, the early warning values from point 1 to point 6 are 68.0k Pa,20.0k Pa,31.5 k Pa,47.5 k Pa,31.0 k Pa, respectively. 22.0 k Pa. (5) the measured value of earth barometer is equal to the cross section stress of unbalanced thrust. The earth pressure early warning model is established by taking the measured value of earth pressure when the safety factor is 1.5 as the early warning value. Using this model, the earth pressure early warning values from point 1 to point 6 are 57.85k Pa,468.28 k Pa,467.68 k Pa,51.47 k Pa,35.13k Pa,53.23 k Pa., respectively.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD854.6;P642.22
本文编号：2486180
[Abstract]:The in-situ leaching of ionized rare earth reduces the stability of mine slope and affects the safety of mine production, resource recovery rate and economic benefit. Slope monitoring and early warning is an important method to prevent and control mine landslides. At present, most of the related research at home and abroad is based on displacement-time characteristic curve, and adopts landslide posterior means to carry out early warning model research, and its application has limitations. In this paper, taking Guanxi and Dongjiang rare earth mines as test sites, taking the surface displacement of mine slope, internal pore water pressure and earth pressure as research parameters, the early warning model of landslide is established, and the reference safety threshold is given in combination with engineering practice. The main research work is as follows: (1) taking the surface displacement of slope body as the research parameter, the model of landslide deformation stage is established to evaluate the overall stability of slope; Taking pore water pressure as the research parameter, the pore water pressure model is established to reveal the formation process of negative pore water pressure. Taking the earth pressure as the research parameter, it is related to the unbalanced thrust, and the stability of the slope is analyzed from the interior. (2) the monitoring data of Kansai rare earth mine show that the earth pressure of the slope increases before the surface displacement at the same monitoring point. The monitoring parameters of slope body change from inside to outside. On the same line, the surface displacement and earth pressure of the monitoring point are positively correlated, while the pore water pressure is positively correlated with seepage, positive correlation in stable flow and negative correlation in unstable flow. The monitoring data of Dongjiang rare earth mine show that the pore water pressure and earth pressure of slope body are mainly produced by gravity water at the initial stage of liquid injection. (3) after fitting the monitoring data of slope surface displacement in Guanxi rare earth mine, it is compared with the deformation stage model of slope body. It is found that the surface displacement of each monitoring point changes directly from the creep stage to the stable stage, which indicates that the slope body in the measuring line area is basically in a stable state. Based on the monitoring data of slope surface displacement in Dongjiang rare earth mine, the empirical mode decomposition method is used to Denoise the slope body, which makes the displacement movement trend of slope more obvious and evaluates the stability in advance. The results show that the slope body of line 1 is in the stable stage. The measuring line 2 slope is in the sliding stage. (4) taking the pore water pressure equivalent water head as the early warning value when it reaches the surface of the slope body, the pore water pressure early warning model is established. Using this model, the early warning values from point 1 to point 6 are 68.0k Pa,20.0k Pa,31.5 k Pa,47.5 k Pa,31.0 k Pa, respectively. 22.0 k Pa. (5) the measured value of earth barometer is equal to the cross section stress of unbalanced thrust. The earth pressure early warning model is established by taking the measured value of earth pressure when the safety factor is 1.5 as the early warning value. Using this model, the earth pressure early warning values from point 1 to point 6 are 57.85k Pa,468.28 k Pa,467.68 k Pa,51.47 k Pa,35.13k Pa,53.23 k Pa., respectively.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD854.6;P642.22
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