二郎河特大桥施工监测及数据处理研究

发布时间：2018-06-13 01:38

本文选题：变形监测 + 数据处理　；参考：《长沙理工大学》2014年硕士论文

【摘要】：二郎河特大桥位于贵州省习水县境内的仁赤高速公路上,是一座比较典型的超高桥墩刚构桥梁,大桥全长701.08m,横跨峡谷,两个主桥墩高均超过166m。施工和运营阶段,桥墩及悬臂在风力、日照、施工和车载等因素影响下会产生一定程度的变形,需通过变形监测手段掌握和控制其变形量和变形趋势。本论文以二郎河特大桥为背景,进行了以下研究：1.探讨了测量机器人变形监测系统的组成,分析了其监测误差的主要来源及影响,设计出符合大桥施工特点的监测方案。2.通过全天候观测数据,分析了参考点方位角测值偏差的变化规律及其影响因素,运用角度差分的方法进行了方位角的改正；基于全站仪测距原理,分析了气象条件变化对测距的影响,研究了一种应用测量机器人监测数据反演局部区域大气折射率变化的方法,并进行了距离的改正。3.结合实际施工进展情况,分析了变形量和变形趋势。4.研究了小波分析方法及其在变形监测数据处理中的应用,利用小波包算法可实现信噪分离的功能,实现了监测数据的消噪和消噪后的效果分析。研究表明,在应用测量机器人进行全天候监测中,受到气象条件等因素的影响,仪器的初始定向方位会发生偏移变化,使监测数据中包含系统性的定向偏差。该偏差为一变量,且与温度密切相关,表现为周日视变化规律。主要研究成果为：(1)利用参考点进行方位角差分的方法,可以有效削弱定向偏差的影响；(2)通过测站与已知参考点间距离观测值的变化,求得大气折射率的近似值及其变化,可以用于监测点距离观测值的气象改正；(3)应用小波包算法可以有效实现对监测数据的消噪。
[Abstract]:Erlang River Bridge, located on Renchi Expressway in Xishui County, Guizhou Province, is a typical super-high pier rigid frame bridge. The bridge is 701.08m in length and spans the canyon. The height of the two main piers is more than 166m. In the stage of construction and operation, the bridge pier and cantilever will produce certain degree of deformation under the influence of wind, sunshine, construction and vehicle, etc. It is necessary to master and control the deformation amount and deformation trend by means of deformation monitoring. This thesis takes the Erlang River Bridge as the background, carries on the following research: 1. This paper discusses the composition of the deformation monitoring system of measuring robot, analyzes the main sources and effects of its monitoring error, and designs a monitoring scheme .2which accords with the construction characteristics of the bridge. Based on the all-weather observation data, the variation law of azimuth deviation of reference point and its influencing factors are analyzed, and the azimuth correction is carried out by using the method of angle difference. In this paper, the influence of meteorological conditions on ranging is analyzed, and a method of retrieving local atmospheric refractive index changes from monitoring data of measuring robot is studied, and the range correction is carried out. Combined with the progress of actual construction, the deformation amount and trend are analyzed. The wavelet analysis method and its application in deformation monitoring data processing are studied. Wavelet packet algorithm is used to realize the function of separation of signal and noise, and the de-noising of monitoring data and the effect analysis after de-noising are realized. The results show that the initial orientation of the instrument will change due to the influence of meteorological conditions in the all-weather monitoring using the measuring robot, which makes the monitoring data contain systematic orientation deviation. The deviation is a variable and closely related to temperature. The main research results are as follows: (1) by using the method of azimuth difference of reference points, the influence of directional deviation can be effectively weakened. (2) the approximate values of atmospheric refractive index and their variations can be obtained by changing the observed values of the distance between the station and the known reference points. It can be applied to the meteorological correction of the observation value of the distance between the monitoring points. (3) the wavelet packet algorithm can effectively realize the de-noising of the monitoring data.
【学位授予单位】：长沙理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U446

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