乌鲁木齐市地铁隧道施工引起地表沉降预测方法研究

发布时间：2018-05-20 09:01

本文选题：乌鲁木齐地铁 + 地表沉降　；参考：《新疆大学》2017年硕士论文

【摘要】：随着我国经济的飞速发展,城市人口数量急剧增长,由此造成的交通拥堵问题日益严重。城市地铁的建设在一定程度上缓解了交通拥堵现象,但是也给城市造成了一定程度上的破坏,制约了城市的发展。其中,由于地铁施工破坏原状土体所造成施工区域的地表沉降问题尤为普遍。为了减少地铁施工对周围地表造成的损害,制定相应的监测方案监测地表沉降,并利用采集的沉降数据进沉降趋势进行预测是十分必要的。本论文的研究内容是横向课题《乌鲁木齐市轨道交通1号线11标段沉降变形监测》的一部分,基于乌鲁木齐市地铁1号线11标段施工过程中采集的沉降监测数据,对乌鲁木齐市特有卵石地质条件下地铁施工引起的地表沉降进行分析。主要研究了深基坑开挖对周围地表沉降的影响,重点分析了基坑中5个大断面最大沉降量随位移的变化规律及单个地表点沉降量随时间的变化规律。采用多项式回归和灰色理论相结合的方法建立长期灰色预测模型,对序列长度、沉降初始值、次方数及数据类型共4个影响预测精度的因素进行分析,并将预测值和实测值进行对比以验证预测模型的可行性。研究表明,在乌鲁木齐地区进行深基坑及隧道开挖所引起的周围地表沉降量较小约为2mm-4mm,但是影响区域超过了监测点的布置区域;基坑横断面最大沉降量随着地表点与基坑边缘距离的增大而呈现先减小后增大最后减小的变化趋势,形状类似于一个“勺”形;运用多项式回归与灰色理论相结合建模对单个地表点的沉降值进行预测是可行的,为后续相同地质条件下的沉降预测工作起到了一定的借鉴作用。
[Abstract]:With the rapid development of economy in our country, the urban population is increasing rapidly, and the traffic congestion problem is becoming more and more serious. The construction of urban subway alleviates traffic congestion to a certain extent, but it also damages the city to a certain extent and restricts the development of the city. Among them, the surface settlement of the construction area caused by the destruction of the original soil in subway construction is particularly common. In order to reduce the damage to the surrounding surface caused by subway construction, it is necessary to establish a corresponding monitoring scheme to monitor the surface subsidence and forecast the settlement trend by using the collected settlement data. The research content of this paper is a part of the horizontal project "Monitoring the settlement of 11 Section of Urumqi Rail Transit Line 1", based on the settlement monitoring data collected during the construction of 11 Section of Urumqi Metro Line 1. The surface subsidence caused by subway construction in Urumqi is analyzed. The influence of deep foundation pit excavation on the surface settlement around the foundation pit is mainly studied, and the variation law of the maximum settlement with displacement of five large sections in the foundation pit and the variation law of the settlement amount of a single surface point with time are analyzed. A long-term grey prediction model was established by combining polynomial regression and grey theory. Four factors affecting prediction accuracy were analyzed, such as sequence length, initial value of settlement, number of power and data type. In order to verify the feasibility of the prediction model, the predicted value and the measured value are compared to verify the feasibility of the prediction model. The results show that the surface settlement caused by deep foundation pit and tunnel excavation in Urumqi is about 2mm-4mm, but the influence area exceeds the monitoring area. With the increase of the distance between the surface point and the edge of the foundation pit, the maximum settlement of foundation pit decreases first and then increases and then decreases, and the shape is similar to that of a "spoon". It is feasible to predict the settlement value of a single surface point by using polynomial regression and grey theory, which can be used as a reference for the subsequent settlement prediction under the same geological conditions.
【学位授予单位】：新疆大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P642.26;U455

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