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

机译:一种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:模态元模型用于在存在结构修改时近似结构的模态特性。该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,成功地准确预测了存在转向的参数变化下系统的固有频率。所获得的模态元模型与有效检测转向和交叉现象的程序结合使用,而无需诉诸耗时的模态跟踪程序。通过这种方式,可以设计出一个对意外模态行为安全的系统。

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