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Reference-based combined deterministic-stochastic subspace identification for operational modal analysis with deterministic inputs

机译:基于参考的组合确定性 - 随机子空间识别,用于使用确定性输入的操作模态分析

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In classical operational modal analysis (OMA), the modal parameters of a structure are determined from its dynamic response to ambient forces. The application of this technique to civil engineering structures is particularly interesting since heavy and expensive artificial excitation devices, required for experimental modal analysis (EMA), are not necessary. However, disadvantages of OMA are the limited frequency content of the ambient excitation and the fact that mass-normalization of the mode shapes is not possible. A possible solution is to use operational modal analysis techniques that allow deterministic or exogenous inputs (OMAX). The difference between OMAX and EMA lies in the fact that with OMAX, the ambient forces are not considered as noise, but as part of the excitation. As a result, OMAX requires only small and relatively cheep artificial excitation devises, but it requires special combined deterministic-stochastic system identification methods. In this paper, the reference-based combined deterministic-stochastic subspace identification method for OMAX is discussed. The theory is illustrated on a benchmark problem: the determination of the modal parameters of the Z24 bridge. With the presented method, the best benchmark results reported so far are obtained.
机译:在古典操作模态分析(OMA)中,结构的模态参数由其对环境力的动态响应来确定。由于实验模态分析(EMA)所需的重和昂贵的人工激励装置,因此不需要,这种技术在土木工程结构中的应用特别有趣。然而,OMA的缺点是环境激励的有限频率内容,并且不可能是模式形状的质量归一化的事实。可能的解决方案是使用允许确定性或外源输入(OMAX)的操作模态分析技术。 omax和EMA之间的差异在于,对于omax,环境力量不被视为噪音,而是作为激发的一部分。结果,omax只需要小而相对吱吱的人工励磁设计,但它需要特殊的组合确定性 - 随机系统识别方法。本文讨论了若干基于参考的组合确定性 - 随机子空间识别方法。该理论在基准问题上示出:确定Z24桥的模态参数。通过呈现的方法,迄今为止报告的最佳基准结果是获得的。

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