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Decentralized damage detection under ambient excitations with random decrement functions

机译:具有随机减量函数的环境激励下的分散损伤检测

摘要

In this paper, a decentralized damage detection method is proposed for civil structures under ambient excitations. This method do not have the limitations that the number of sensors should be larger than the number of unknown forces and the sensors must be available at the external forces as required by conventional methods. The random decrement (RD) functions are used for damage detection. The unknown structural parameters and RD functions are divided into a number of subsets according to its finite element configuration. Each subset of parameters can be updated with RD functions in the same region. The RD function consists of two parts: one is a nonlinear function that depends on structural parameters, the other is the initial value of the RD functions. The initial values of the RD functions and the physical structural parameters are improved in further iterations by model updating. A numerical example is employed to demonstrate the effectiveness of the proposed method.
机译:本文提出了一种在环境激励下用于民用建筑的分散损伤检测方法。该方法没有局限性,即传感器的数量应大于未知力的数量,并且传感器必须按常规方法的要求在外力作用下可用。随机减量(RD)功能用于损坏检测。根据其有限元配置,未知的结构参数和RD函数分为多个子集。可以使用同一区域中的RD功能更新参数的每个子集。 RD函数由两部分组成:一个是取决于结构参数的非线性函数,另一个是RD函数的初始值。通过模型更新,可以在进一步的迭代中改善RD函数的初始值和物理结构参数。数值例子说明了该方法的有效性。

著录项

  • 作者

    Ni P; Xia Y;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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