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Structural identification and damage identification using output-only vibration measurements.

机译：使用仅输出的振动测量结果进行结构识别和损坏识别。

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摘要

This dissertation studied the structural identification and damage detection of civil engineering structures. Several issues regarding structural health monitoring were addressed.;The data-driven subspace identification algorithm was investigated for modal identification of bridges using output-only data. This algorithm was tested through a numerical truss bridge with abrupt damage as well as a real concrete highway bridge with actual measurements. Stabilization diagrams were used to analyze the identified results and determine the modal characteristics. The identification results showed that this identification method is quite effective and accurate.;The influence of temperature fluctuation on the frequencies of a highway concrete bridge was investigated using ambient vibration data over a one-year period of a highway bridge under health monitoring. The data were fitted by nonlinear and linear regression models, which were then analyzed.;The substructure identification by using an adaptive Kalman filter was investigated by applying numerical studies of a shear building, a frame structure, and a truss structure. The stiffness and damping were identified successfully from limited acceleration responses, while the abrupt damages were identified as well. Wavelet analysis was also proposed for damage detection of substructures, and was shown to be able to approximately locate such damages.;Delamination detection of concrete slabs by modal identification from the outputonly data was proposed and carried out through numerical studies and experimental modal testing. It was concluded that the changes in modal characteristics can indicate the presence and severity of delamination. Finite element models of concrete decks with different delamination sizes and locations were established and proven to be reasonable.;Pounding identification can provide useful early warning information regarding the potential damage of structures. This thesis proposed to use wavelet scalograms of dynamic response to identify the occurrence of pounding. Its applications in a numerical example as well as shaking table tests of a bridge showed that the scalograms can detect the occurrence of pounding very well.;These studies are very useful for vibration-based structural health monitoring.
机译：本文研究了土木工程结构的结构识别和损伤识别。解决了有关结构健康监测的几个问题。；研究了数据驱动子空间识别算法，该算法用于仅使用输出数据的桥梁模态识别。该算法通过具有突然破坏的数值桁架桥以及具有实际测量值的真实混凝土公路桥进行了测试。稳定图用于分析识别的结果并确定模态特征。识别结果表明，该识别方法是有效，准确的。在健康监测的基础上，采用环境振动数据，研究了温度波动对公路混凝土桥梁频率的影响。通过非线性和线性回归模型对数据进行拟合，然后进行分析。通过对剪力建筑物，框架结构和桁架结构的数值研究，研究了使用自适应卡尔曼滤波器进行的子结构识别。通过有限的加速度响应可以成功地识别出刚度和阻尼，同时还可以识别出突然的损坏。小波分析也被提出用于子结构的损伤检测，并被证明能够近似地定位这种损伤。通过从仅输出数据中进行模态识别，提出了混凝土板的分层检测，并通过数值研究和实验模态试验进行了研究。结论是，模态特征的变化可以表明分层的存在和严重性。建立了具有不同分层大小和位置的混凝土甲板的有限元模型，并证明是合理的。碰撞识别可以提供有关结构潜在损坏的有用的预警信息。本文提出利用动态响应的小波尺度图来识别撞击的发生。它在数值示例中的应用以及桥梁的振动台测试表明，比例尺可以很好地检测到撞击的发生。这些研究对于基于振动的结构健康监测非常有用。

著录项

  • 作者

    Xing, Shutao.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Applied Mechanics.;Engineering General.;Engineering Civil.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 213 p.
  • 总页数 213
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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