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A meta-modeling technique for the natural frequencies based on the approximation of the characteristic polynomial

机译:基于特征多项式近似的固有频率元建模技术

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摘要

Modal meta-models are used to approximate modal properties of structures when structural modifications are present. This paper proposes a viable meta-modeling approach which, based on the approximation of the coefficients of the characteristic polynomial, succeeds in accurately predicting the natural frequencies of the system under parameter variations in presence of veering. The obtained modal meta-model is used in combination with a procedure for efficient detection of veering and crossing phenomena without resorting to time-consuming mode tracking procedures. In this way it is possible to design a system which is safe against unexpected modal behavior.
机译:当存在结构修改时,模态元模型用于近似结构的模态特性。本文提出了一种可行的元建模方法,该方法基于特征多项式系数的近似值,可以成功地准确预测存在偏差的参数变化下系统的固有频率。所获得的模态元模型与用于有效检测转向和交叉现象的过程结合使用,而无需诉诸费时的模式跟踪过程。以此方式,可以设计一种对意外的模态行为安全的系统。

著录项

  • 来源
    《Computers & Structures》 |2012年第7期|p.108-116|共9页
  • 作者单位

    Department of Aerospace Engineering, University of Illinois at Urbana-Champaign, 104 S. Wright Street, Urbana, IL 61801, USA;

    Department of Robotics and Mechatronics, ACH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland;

    Department of Robotics and Mechatronics, ACH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Poland;

    Department of Aerospace Engineering, University of Illinois at Urbana-Champaign, 104 S. Wright Street, Urbana, IL 61801, USA;

  • 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
  • 关键词

    structural dynamics; meta-modeling; uncertainty analysis; mode veering; characteristic polynomial;

    机译:结构动力学;元建模不确定性分析;模式转向;特征多项式;

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