地铁施工监测及其数据库研究
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摘要
由于地铁工程具有施工环境复杂、施工地点多在闹市区,施工干扰较大等特点,且目前地铁施工监测存在较大漏洞,现有的施工监测系统只对测点的监测值进行了记录,而并没有将各种监测类型的影响因素在监测系统中反映,若某测点的监测值超过其控制标准,因系统中的资料不全,无法对其造成的原因进行更深入的分析,以此来反馈和指导施工,造成监测资料的大量流失和低水平的利用,所以建立一个能包括地铁施工各种监测类型的影响因素及监测数据的全面的数据库具有其必要性和重要意义。
     论文以某地铁区间隧道和车站明挖基坑的监测数据为基础,结合其现有监测项目和监测值控制标准,选取地表沉降、地下管线沉降、建筑物沉降、土体位移等四种监测类型为对象,分析了各监测类型的主要影响因素和各影响因素对该监测类型的一般性影响规律,并提出了基于监测数据分析应提取的影响因素,包括地质条件、施工工艺、隧道埋深、开挖进度等对地表沉降的影响;地层土质、管线材质、管径、管道埋深、地层损失率、管隧间距等对地下管线沉降的影响;基坑降水、地基土质、基础形式、结构形式、基坑距离、位移历史等对建筑物沉降的影响;钻孔倾斜度、测斜管埋设深度、填料、探头稳定时间等对土体位移的影响。另外,论文结合各监测类型的影响因素和监测数据,基于Microsoft Access 2007对某地铁施工监测数据库进行基本模型的设计,对数据库的功能、数据表及其逻辑关系、数据库的简要运行模块进行主要介绍。
Metro project’s construction environment is very complex, such as the serious construction disturbance in the center of city and lots of drawbacks in construction monitoring. Although the monitoring information systems used now record the monitoring data, its influencing factors cannot be showed in these systems. When the monitoring data overtake the controlling criteria, it would be hard to analyze the reason by which the metro construction could not be guided, so that a lot of information would be lost. Therefore, it is meaningful and necessary to build a database which includes monitoring types, monitoring data and its influencing factors information.
     The thesis takes the monitoring data of a metro tunnel and a station foundation pit as the original data, combines with monitoring type and controlling criteria, and chooses four monitoring types, such as ground surface settlement, underground pipe settlement, building subsidence, soil displacement, to analyze the main influencing factors and regularity of monitoring types. It proposes some influencing factors based on monitoring data. First, it includes the ground surface settlement’s influencing factors, such as geological characteristics, construction technology, tunnel depth, the progress of excavation. Second, the underground pipe settlement’s influencing factors, such as soil material, pipe material, diameter, pipe depth, stratigraphic loss rate, the distance between pipe and tunnel are proposed. Third, it also includes the building subsidence’s influencing factors, such as foundation pit dewatering, foundation form, structure form, the distance between building and the foundation pit, displacement history. Fourth, the soil displacement’s influencing factors, such as the inclination of the hole, inclinometer tube depth, filling material, the stability time of probe are also proposed. In addition, it mainly analyzes the function of database, data tables, logical relationship and operation modules on the basis of the design of a metro construction monitoring database model by Microsoft Access 2007, combined with monitoring data and its influencing factors.
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