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Damage evaluation of structures by wavelet analysis.

机译:通过小波分析评估结构的损伤。

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摘要

Over the last few decades, damage evaluation methods of civil and mechanical structures have been drawing much interest from various fields. Wavelet analysis, a relatively new mathematical and signal processing tool, is one of such methods that have been studied recently. It is a time-frequency analysis that provides more detailed information about non-stationary signals which traditional Fourier analysis miss. This rather new method has been applied to various fields including civil, mechanical and aerospace engineering, especially for damage evaluation and structural health monitoring (SHM).; In this research, Continuous Wavelet Transform (CWT) is used to identify the existence of damage. Two types of full scale concrete structures are tested to investigate the soundness of structures: (1) a Portland cement concrete pavements (PCCP) and (2) a prestressed concrete beam from a highway bridge. In addition, Wavelet Packet Transform (WPT) and Artificial Neural Network (ANN) are applied to a numerically modeled three span cantilever beam to identify the location of damage as well as its severity. This method is found to be promising to establish on-line structural health monitoring for small structures which are subjected to repetitive loads. In order to apply this method to buildings and civil infrastructures, some difficulties need to be addressed. Although many of these difficulties still remain unsolved, accomplishments achieved at this time will be a help to lead to next practical developments.
机译:在过去的几十年中,土木和机械结构的损伤评估方法引起了各个领域的极大兴趣。小波分析是一种相对较新的数学和信号处理工具,是最近研究的此类方法之一。它是一种时频分析,可提供有关传统傅立叶分析所错过的非平稳信号的更多详细信息。这种相当新的方法已经应用于各个领域,包括土木,机械和航空工程,尤其是在损伤评估和结构健康监测(SHM)中。在这项研究中,连续小波变换(CWT)用于识别损伤的存在。测试了两种类型的全尺寸混凝土结构以研究结构的稳固性:(1)波特兰水泥混凝土路面(PCCP)和(2)来自公路桥梁的预应力混凝土梁。此外,将小波包变换(WPT)和人工神经网络(ANN)应用于数值建模的三跨悬臂梁,以识别损伤的位置及其严重程度。发现该方法有望为承受重复载荷的小型结构建立在线结构健康监测。为了将该方法应用于建筑物和民用基础设施,需要解决一些困难。尽管许多困难仍未解决,但此时取得的成就将有助于导致下一个实际发展。

著录项

  • 作者

    Kim, Hansang.;

  • 作者单位

    Kansas State University.;

  • 授予单位 Kansas State University.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 165 p.
  • 总页数 165
  • 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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