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Damage detection and localization of dynamic structures using experimental data.

机译:使用实验数据进行动态结构的损伤检测和定位。

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摘要

Damage detection and localization allow for automated real-time monitoring of real world engineering projects. The benefits of such a system include improved safety, lower maintenance costs, and higher reliability. Many of the early works focus almost exclusively on numerical simulations of real systems, with very little experimentally acquired data used in detection. Introducing real world data complicates the analysis significantly by requiring noise reducing techniques to acquire legitimate results. In addition, the cost of obtaining enough data to fully define a damaged system can quickly become prohibitive. This thesis focuses directly on damage detection schemes carried out through empirical means. First a concept proving scheme is used by which data about the system is collected through accelerometer data. The damage detection scheme requires the reduction of a large set of data to one or two descriptive eigenparameters. Second, the scheme is repeated using optically gathered data through use of a high speed camera and software image manipulation tools. Damage detection is shown to be possible under the some conditions and initial parameters. Localization of the damage, however, is shown to require sensor information from multiple locations. Further still the optically based method is shown to supplement a failed detection by other means.
机译:损坏检测和定位可以对现实世界的工程项目进行自动实时监控。这种系统的好处包括提高安全性,降低维护成本和提高可靠性。许多早期工作几乎都只专注于真实系统的数值模拟,而很少有实验获得的数据用于检测。引入现实世界的数据需要使用降噪技术来获得合法的结果,从而使分析变得非常复杂。此外,获得足够的数据以完全定义受损系统的成本很快就会变得过高。本文直接关注通过经验手段进行的损伤检测方案。首先,使用概念验证方案,通过该方案通过加速度计数据收集有关系统的数据。损坏检测方案需要将大量数据简化为一个或两个描述性特征参数。其次,通过使用高速相机和软件图像处理工具,使用光学收集的数据重复该方案。在某些条件和初始参数下,损坏检测是可能的。但是,损坏的定位显示需要多个位置的传感器信息。此外,示出了基于光学的方法以通过其他方式补充失败的检测。

著录项

  • 作者

    Ward, Andrew Stephen.;

  • 作者单位

    University of California, Davis.;

  • 授予单位 University of California, Davis.;
  • 学科 Engineering Mechanical.
  • 学位 M.S.
  • 年度 2011
  • 页码 79 p.
  • 总页数 79
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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