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Human-Structure Interaction in the TCF Bank Stadium and a Study of Parameter Estimation Algorithms.

机译:TCF银行体育场内的人机交互作用和参数估计算法的研究。

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摘要

As more and more stadia structures nowadays are being built by making use of new high strength building materials which tend to be lighter than the "old" ones, composite systems and also the fact that engineers, contractors and clients want their structures as optimized as possible, in terms of minimal materials used, there is an inevitable side effect that comes with this. The result is that structures are more flexible, and thus they become susceptible to undergone vibration problems due to the action of dynamic loading. Pop/rock concerts, exhibitions, boxing matches, and so forth are staged to supplement the football/sport seasons. Consequently, stadia structures must resist not only static loading, but also dynamic loading, such as the human induced loads from various activities of the spectators which include, standing, jumping, stamping, clapping and dancing, particularly in response to touchdowns (in football matches) or musical beats (during concerts).;Active and passive models of humans are studied to see how they influence the response in TCF Bank Stadium for different ranges in excitation frequencies, by performing dynamic analyses and comparing the results with the ones obtained from static analysis.;Parameter estimation and system identification in mechanical sciences and structural engineering have become increasingly important areas of research in the last three decades. Many nondestructive testing methods are based on the concepts of system identification and parameter estimation.;In this document, two parameter estimation algorithms are studied, namely the Equation Error Estimator and the Output Error Estimator, through the simulation of modal data obtained from a computer structural analysis program and comparisons of their results are presented so that future researchers are better informed about the two and therefore can decide which one would give the best results for their application.
机译:随着当今越来越多的体育场结构通过使用比“旧”结构轻的新型高强度建筑材料建造,复合系统以及工程师,承包商和客户希望其结构尽可能优化的事实,就使用最少的材料而言,随之而来的是不可避免的副作用。结果是结构更加柔软,因此由于动态载荷的作用,它们容易受到振动问题的影响。举办流行/摇滚音乐会,展览,拳击比赛等,以补充足球/运动季节。因此,体育场结构不仅必须抵抗静态载荷,而且还必须抵抗动态载荷,例如观众因站立,跳跃,踩踏,拍打和跳舞等各种活动而引起的人为载荷,特别是在着陆时(在足球比赛中) )或音乐节拍(音乐会期间)。通过进行动态分析并将结果与​​从静态获得的结果进行比较,研究了人类的主动和被动模型,以了解它们如何影响TCF Bank Stadium在不同激励频率范围内的响应在过去的三十年中,机械科学和结构工程中的参数估计和系统识别已成为越来越重要的研究领域。许多无损测试方法都基于系统识别和参数估计的概念。;在本文中,通过模拟从计算机结构获得的模态数据,研究了两种参数估计算法,即方程误差估计器和输出误差估计器。提出了分析程序并对其结果进行了比较,以便将来的研究人员可以更好地了解这两种方法,从而可以确定哪种方法可以为他们的应用提供最佳的结果。

著录项

  • 作者

    Aldaco Lopez, Manuel.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Engineering Civil.
  • 学位 M.S.
  • 年度 2014
  • 页码 124 p.
  • 总页数 124
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:39

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