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1、 西安建筑科技大学硕士学位论文独塔无背索混凝土斜拉桥施工控制分析专 业：桥梁与隧道过程 硕 士 生：何新成 指导教师：高大峰 教授 摘 要在独塔无背索斜拉桥施工过程中，桥梁各构件的受力随工况的改变波动较大，直接影响其结构在施工过程中的安全。统计资料和研究表明，在斜拉桥施工过程中若不对其进行有效的监控分析，就难以达到理想成桥状态下的线形、内力，危及成桥安全，因为其原因是设计阶段一般无法对现场工况，环境参数和材料参数等进行预测并对其模型参数进行调整。为达到理想的成桥状态，需根据现场情况对斜拉桥施工过程进行准确模拟分析和预测。论文基于独塔无背索斜拉桥施工监控数据，研究其施工过程中的模拟计算方法，并对
2、相应的温度场参数进行辨识。主要研究内容和成果如下： 根据陕西省府谷县华建大桥现场施工监控过程，阐明独塔无背索斜拉桥施工监控的必要性，对斜拉桥施工过程的模拟分析方法进行对比分析，分析桥梁施工控制影响因素，对误差的处理进行分析；基于 Midas/Civil 软件平台，建立相应的三维空间数值模型，采用零位移法确定合理的成桥状态，利用该软件的未闭合配合力功能，求解斜拉索施工初始张拉力，继而对该斜拉桥施工过程进行正装模拟计算，得到各施工阶段主梁的内力、挠度及索塔应力和拉索内力；选择工况中最危险的几个阶段进行重点受力分析，最后与现场实测数据进行比较。研究表明，在建模过程中，需对参数进行适时识别与调整，以提
3、高其模拟结果与实测值相吻合的程度。 结合华建大桥的施工控制，对其箱梁连续3天的温度场及温度效应进行观测，并进行相应的温度参数辨识，基于传热学经典理论，建立数值模拟分析模型，采用瞬态热分析方法，得出相应的理论温度场；通过与实测温度梯度值的分析比较，推导出适用于陕北地区冬季混凝土箱梁温度梯度的计算模式。 利用稳健回归分析研究桥梁各构件温度变化对其主梁应变的作用。根据对桥梁周围环境参数及桥梁各构件温度参数的辨识，建立数学模型；通过对所测自变量和因变量的稳健性分析，总结其规律。结果表明，其模型能够很好的预测混凝土箱梁温度效应，并且在处理误差分析时较其他方法（多元线性回归）优越，其 西安建筑科技大学硕士
4、学位论文分析方法可作为在桥梁施工监控过程中分离其温度效应的一种有效手段。 关键词：独塔无背索斜拉桥；施工监控；数值分析；温度梯度 基金项目：陕西省重点学科建设专项资金资助项目（E01004）；陕西省教育厅专项科研计划项目（2010JK635）。 西安建筑科技大学硕士学位论文Construction Control and Analysis of Single Pylon ConcreteCable-stayed Bridge without BackstageSpecialty: Bridge and Tunnel Engineering Name: He Xincheng Instructo
5、r: Prof. Gao Dafeng AbstractStudy on the single pylon concrete cable-stayed bridge without backstage in construction. Various components of the bridge by force fluctuations in operating conditions change. Statistical datum and researches have indicated which the cable-stayed bridge was not carry out
6、 monitoring and analysis in construction process, it is difficult to reach the ideal bridge state linear internal force, and involving the safety of the Bridge. The reason is that the design stage cannot predict the site conditions, environmental parameters, material parameters and their model track
7、ing adjustment from time to time under field conditions, to reach the state of the ideal bridge, cable-stayed bridge construction process for accurate simulation analysis and forecast. The thesis is to study on a single tower cable-stayed bridge construction, no dorsal column monitoring data to iden
8、tify the extraction of the single tower cable-stayed bridge construction, no dorsal column process simulation method and the temperature field parameters in the construction process. Main contents and results are as follows. In the process of Hua Jian bridge-site construction monitoring, review the
9、need for monitoring of single tower cable-stayed bridge construction, no dorsal column, the cable-stayed bridge construction process simulation analysis methods were analyzed, as well as bridge construction, controlling for other factors and error handling Analysis. Based on the Midas-Civil software
10、 platform, the three-dimensional numerical model was establishment. Zero-displacement method to determine a reasonable bridge, use the software is not closed with the power function for solving the cable-stayed construction of the initial tension, and then the cable-stayed bridge construction proces
11、s simulation suits, get the main construction phase beam internal force, deflection, stress Sarasota and cable internal forces, and select the most dangerous construction stages to focus on 西安建筑科技大学硕士学位论文stress analysis, and finally compared with field data. Studies have shown that in the modeling p
12、rocess, the timely identification of the parameter adjustments, the simulation results with the measured values close to. Combination of Fugu County, Shaanxi Province, Hua Jian bridge construction control box girder for three consecutive days the temperature field and temperature effects are observe
13、d as well as the bridge temperature parameter identification, the classical theory based on the heat transfer, the establishment of the numerical model, the use of transient thermal analysis, and draw the corresponding theoretical temperature field. Compared with the analysis of the measured tempera
14、ture gradient value, regression analysis, Deduced computing model for concrete box girder temperature gradient in Northern winter. It is proposed to establish relationship between measured strain and different temperature actions by robust regression model. The bridge the surrounding environment par
15、ameters and the various components of the bridge temperature parameters was Identification. By the measured variables and the dependent variable was analysis, robustness analysis, to sum up its own rules. Calculations show that their model can predict the temperature effects of the concrete box girder,
