节点文献

大跨径连续刚构桥施工控制研究

Research on Construction Control of Long-span Bridge on Mashui River

【作者】 谭晓东

【导师】 黎明发;

【作者基本信息】 武汉理工大学 , 固体力学, 2007, 硕士

【摘要】 随着我国科学技术和交通事业的发展,需要修建更多大跨径桥梁,近几年预应力混凝土连续刚构桥以其施工简便、造价经济、受力合理、行车舒适等独特优势得到了广泛应用。桥梁跨径越大,其施工难度也越大,对大跨桥梁实施施工过程控制是确保施工质量和安全的重要环节,也是确保成桥状态符合设计要求的重要措施。因此有必要对大跨径桥梁施工控制技术进行更进一步的研究。悬臂浇筑桥梁的施工控制主要包括结构线形和结构应力两方面的内容,本文在分析总结国内外大跨度预应力混凝土连续刚构桥发展和施工控制技术的基础上,对预应力连续刚构桥的特点、施工控制方法进行概括介绍。本文以马水河特大桥为工程实例,根据大跨径预应力混凝土连续梁桥的施工控制的特点,提出了合理的施工控制方案,建立了全面的监测系统。通过建立大桥结构分析模型,选择合适结构参数识别,充分考虑各种影响因素,经计算监测、预测,实现大桥线形和应力的不断调整和控制,达到了预定的目标。引用神经网络基本原理,详细介绍BP神经网络的研究过程,从而建立预应力混凝土连续刚构桥施工控制中标高偏差的神经网络模型,根据施工时的预应力张拉后等工况桥面实测标高与设计值的差异,用BP神经网络识别模型的参数,进而指导预拱值的调节。借助MATLAB程序的神经网络工具箱,构建人工神经网络,完成对样本矢量的输入以及对桥梁施工控制网络的训练,进而实现对实桥施工过程的预测功能,得到施工控制的输出结果。分析表明该方法是有效的,进行了一种新的尝试。具有良好的应用前景。在施工过程中,温度对箱梁结构的影响非同小可,就环境温度对箱梁挠度和内力的影响方面,本文做了一定的数据采集工作并加以分析,得出了一定的规律。对以后同类型桥梁的施工有一定的参考或借鉴意义。

【Abstract】 With the rapid development of China’s traffic more and more long-span bridges are needed to be constructed. The prestressed concrete continuous bridge has been growing up rapidly in recent years with it’s unique predominance of handy construction,economical cost, reasonable internal force and comfortable traveling. The longer the span of the bridge, the more difficulties are there in the construction. The bridge construction control is an essential measure and step to ensure that the quality and safety are obtained during bridge construction,also to ensure that the final structural state is in agreement with what the designer requires.And it is necessary to do more research on the construction control technologies for the long-span prestressing concrete bridges.There are two important contents-structure line shape and structure stress in construction monitoring and controlling of bridge of cantilever construction.The paper through analysis and summing-up the development of the long-span prestressed concrete continuous frame bridge and the construction control techniques in our country and abroad to introduce and summarize the characteristics and construction method of the prestressed continuous rigid frame bridge.On the basis of the mashuihe, according to its special character of the construction control of prestressed concrete continuous rigid frame bridge the paper brings forward a reasonable scheme of observation in the course of construction control, and establishes a comprehensive monitoring system. after establishing the analytic model of the bridge,choosing appropriate structure parameters, taking adequate influencing factors into consideration, The construction control of this bridge is realized through construction calculating, monitoring, back coupling and forecasting and the preplanned target is reached at last.The quotation neural network basic principle, introduces the BP neural network in detail the research process, thus in the establishment prestressed concrete continual rigid frame bridge construction control the elevation deviation neural network model, opens operating mode bridge floor actual elevations and the design value and so on the pull back difference according to the construction time pre-stressed, with the BP neural network recognition model parameter, then instructs the pre-arch value the adjustment.With the help of the neural network toolbox of MATLAB program, The paper builds ANN, imports the sample vector, and trains the bridge construction network, thus makes the forecast function in the bridge construction into reality by obtaining a good export. result in the construction control. The results demonstrated that the ANA is efficient, attempts a new method, and has the good application prospectIn the construction process, the temperature has a large influence on the box beam structure , at the aspect of influence about the environmental temperature to the endogenic stress and flexibility of box beam, this article has done a large work and analyzes, and has obtained a certain rule.will be a certain reference or the model significance to the later same type bridge construction.

  • 【分类号】U445.4
  • 【被引频次】26
  • 【下载频次】400
节点文献中: 

本文链接的文献网络图示:

本文的引文网络