基于长期应变监测数据的桥梁损伤预警方法研究

发布时间：2018-12-13 05:15

【摘要】：桥梁在国民经济中有着举足轻重的地位,尤其是大跨度桥梁的安全运营是经济发展的重要保障。一旦发生事故将造成严重的经济损失,与恶劣的社会影响。为了随时掌握桥梁的运营状况,及时发现桥梁损伤,对已建桥梁进行健康监测、损伤预警非常必要。事实上,大跨度桥梁结构基于健康监测系统的预警与评估已经是国内外学术界和工程界的热点研究领域。如何有效地处理、分析桥梁健康监测系统采集的长期海量监测数据,并且在此基础上进行桥梁结构损伤预警,开展桥梁结构安全状态评估是桥梁健康监测所面临的主要问题之一。为解决上述问题,本文进行了以下方面的研究:1、通过对国内外现有的桥梁损伤预警方法进行总结发现:现有桥梁损伤警方法针对一些结构形式简单的桥梁,损伤识别效果较好。对于大型复杂桥梁的损伤预警方法还待进一步提高。2、为了基于桥梁健康监测系统中准静态信号进行桥梁损伤预警,提出了移动主成分相关系数分析法(MPCCA)。并运用MATLAB软件编程实现了该方法,该方法不依赖于结构模型,不需要预先得到桥梁的结构参数,具有很好的适用性。3、以国内某座大型三跨连续箱梁桥为例进行数值模拟,考虑车辆荷载和温度的耦合作用,利用不同方法对这个模型的多个工况进行了损伤预警。结果表明:本文提出的方法与移动主成分分析法(MPCA)、移动相关系数法(MCA)相比,在识别精度和识别效率上都有明显提高,且MPCCA法的损伤定位能力突出。4、针对长期在线监测获得的连续信号,提出信号预处理的方法。并对某实际桥梁的健康监测系统得到的实测数据进行了预处理,并进行损伤预警,证明了方法的实用性。
[Abstract]:Bridges play an important role in the national economy, especially the safe operation of long-span bridges is an important guarantee for economic development. In the event of an accident will cause serious economic losses, with adverse social impact. In order to grasp the operation condition of the bridge at any time and find the bridge damage in time, it is necessary to monitor the health of the existing bridge and to warn the damage. In fact, the early warning and assessment of long-span bridge structures based on health monitoring system has become a hot research field in the academic and engineering circles at home and abroad. How to effectively deal with and analyze the long-term massive monitoring data collected by the bridge health monitoring system, and on the basis of which the bridge structure damage warning is carried out. Bridge safety assessment is one of the main problems in bridge health monitoring. In order to solve the above problems, this paper has carried on the following research: 1, through the summary of the existing bridge damage warning methods at home and abroad: the existing bridge damage police method for some simple structural forms of bridges, The effect of damage identification is better. The damage warning method of large and complex bridges needs to be further improved. 2. In order to carry out bridge damage early warning based on quasi-static signals in bridge health monitoring system, a moving principal component correlation coefficient analysis method (MPCCA).) is proposed. This method is not dependent on the structural model and does not need to get the structural parameters of the bridge in advance. 3. Taking a large three-span continuous box girder bridge as an example, the method is numerically simulated. Considering the coupling effect of vehicle load and temperature, the damage warning of the model is carried out by using different methods. The results show that compared with the moving principal component analysis (MPCA),) moving correlation coefficient method (MCA), the method proposed in this paper has significant improvement in recognition accuracy and efficiency, and the damage location ability of the MPCCA method is obvious. 4. A method of signal preprocessing is proposed for continuous signals obtained by long-term online monitoring. The actual data obtained from the health monitoring system of a practical bridge are pretreated and the damage warning is carried out, which proves the practicability of the method.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U446

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