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Nonlinear Perturbation Theory for Structural Dynamic Systems

机译:结构动力系统的非线性摄动理论

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摘要

A novel nonlinear perturbation theory for structural dynamic systems is developed that can provide an exact relationship between the perturbation of structural parameters and the perturbation of modal parameters. A system of governing equations based on the developed theory is further derived, which can be utilized for general applications, such as structural reanalyses, eigendata modification, model updating, and damage identification, suitable for all types of structures including mechanical systems, framed structures, and continua. Neither model reduction nor mode shape expansion is required for modal updating and damage identification because information about incomplete measured modal data can be directly employed. The developed theory successfully avoids adopting a Taylor series expansion procedure and then the derivatives of modal parameters are not required. Computational procedures based on the derived nonlinear governing equations are presented for eigendata modification, model updating, and damage identification. The Jacobi transformation method and the accelerated modal method are introduced to make the proposed techniques particularly suitable for cases with a very large perturbation of structural parameters. Finally, two numerical examples are given to demonstrate the effectiveness of the proposed techniques. The results show that the modified modal parameters can be predicted exactly even for cases with a large modification of structural parameters, and the analytical model can be adjusted correctly using the information about limited modal data available.
机译:建立了一种新颖的结构动力系统非线性摄动理论,该理论可以在结构参数摄动和模态参数摄动之间提供精确的关系。进一步推导了基于发达理论的控制方程系统,该系统可用于一般应用,例如结构再分析,特征数据修改,模型更新和损伤识别,适用于所有类型的结构,包括机械系统,框架结构,和连续。模态更新和损伤识别不需要模型缩减或模态形状扩展,因为可以直接使用有关不完整的测量模态数据的信息。发达的理论成功地避免了采用泰勒级数展开程序,因此不需要模态参数的导数。提出了基于导出的非线性控制方程的计算程序,用于特征数据修改,模型更新和损伤识别。引入了Jacobi变换方法和加速模态方法,使所提出的技术特别适用于结构参数非常大的情况。最后,给出了两个数值例子来说明所提出技术的有效性。结果表明,即使对结构参数进行较大修改的情况,修改后的模态参数也可以准确预测,并且可以使用有关有限模态数据的信息来正确调整分析模型。

著录项

  • 来源
    《AIAA Journal》 |2005年第11期|p.2412-2421|共10页
  • 作者

    Hua-Peng Chen;

  • 作者单位

    University of Glasgow, Glasgow, Scotland G12 8LT, United Kingdom;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航空、航天;航空;
  • 关键词

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