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Modal identification and health monitoring of bridges using seismic acceleration records.

机译:使用地震加速度记录的桥梁模态识别和健康监测。

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摘要

This dissertation is built on two complementary tracks. In the first, use of earthquake records for obtaining modal parameters of instrumented bridge systems is addressed. In the second, subsequent use of modal parameters to understand the dynamic behavior of several bridge systems in more detail is evaluated.; Regarding the first track of this dissertation, the problem of System Identification (SI) from earthquake records is addressed with various methods and different configurations of real or envisioned accelerometer arrays. This effort is aiming at setting the stage for future SI applications using large networks of sensors. In this context, strong motion data from several bridges are analyzed first using different SI methods. The objective is to assess the state-of-the-art of identification methods applied to bridges. Subsequently, to assess the effect of increasing the number of sensors in acceleration recording arrays, a simulation study based on finite element modeling of a large bridge system is undertaken to generate "virtual" seismic acceleration data. Acceleration records from this simulation for various configurations of sensors are used to understand the effects of increasing number of sensors on SI results.; Within the context of the second track of this dissertation, the acceptability of all obtained SI results, somehow always presumed in the past literature, is challenged. This is conducted by acquiring the confidence intervals of the identified modal parameters for the purpose of selecting the reliable ones. A framework of sensitivity analysis and Monte Carlo simulations is developed for this purpose to formulate a robust computational procedure for obtaining these confidence intervals. A challenge to the accuracy of the identified modal parameters involves consequences regarding the damage detection and health monitoring, as some of the identified modal information is essentially not useable for acquiring a reliable damage diagnosis of bridge systems.; In summary, earthquake shaking is a convenient way of obtaining input-output data from bridge structures. However, use of this data has limitations that should not be ignored. The results and conclusions of this dissertation underline these limitations while presenting the opportunities offered by SI for better understanding of bridge systems.
机译:本文建立在两条互补的轨道上。首先,解决了使用地震记录获取仪器桥梁系统的模态参数的问题。在第二篇中,评估了随后使用模态参数更详细地了解几个桥梁系统的动态行为。关于本论文的第一篇论文,通过各种方法和实际或预想的加速度计阵列的不同配置解决了地震记录中的系统识别(SI)问题。这项工作旨在为使用大型传感器网络的未来SI应用程序奠定基础。在这种情况下,首先使用不同的SI方法分析来自多个桥梁的强运动数据。目的是评估应用于桥梁的最新识别方法。随后,为了评估增加加速度记录阵列中的传感器数量的效果,进行了基于大型桥梁系统有限元建模的仿真研究,以生成“虚拟”地震加速度数据。该仿真中各种传感器配置的加速记录用于了解传感器数量增加对SI结果的影响。在本文的第二篇文章的背景下,对所有获得的SI结果的可接受性提出了挑战,而在过去的文献中总是以此为前提。这是通过获取已识别模态参数的置信区间来进行的,以选择可靠的模态参数。为此,开发了灵敏度分析和蒙特卡洛模拟的框架,以制定鲁棒的计算程序来获得这些置信区间。所识别的模态参数的准确性的挑战涉及与损伤检测和健康监测有关的后果,因为某些所识别的模态信息本质上不能用于获得桥梁系统的可靠损伤诊断。总而言之,地震震动是从桥梁结构中获取输入输出数据的便捷方法。但是,使用此数据具有不可忽视的局限性。论文的结果和结论强调了这些局限性,同时提出了SI为更好地理解桥梁系统提供的机会。

著录项

  • 作者

    Arici, Yalin.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 240 p.
  • 总页数 240
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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