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首页> 外文期刊>Mechanical systems and signal processing >Data processing in subspace identification and modal parameter identification of an arch bridge
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Data processing in subspace identification and modal parameter identification of an arch bridge

机译：拱桥子空间识别和模态参数识别中的数据处理

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摘要

A data-processing method concerning subspace identification is presented to improve the identification of modal parameters from measured response data only. The identification procedure of this method consists of two phases, first estimating frequencies and damping ratios and then extracting mode shapes. Elements of Hankel matrices are specially rearranged to enhance the identifiability of weak characteristics and the robustness to noise contamination. Furthermore, an alternative stabilisation diagram in combination with component energy index is adopted to effectively separate spurious and physical modes. On the basis of identified frequencies, mode shapes are extracted from the signals obtained by filtering measured data with a series of band-pass filters. The proposed method was tested with a concrete-filled steel tubular arch bridge, which was subjected to ambient excitation. Gabor representation was also employed to process measured signals before conducting parameter identification. Identified results show that the proposed method can give a reliable separation of spurious and physical modes as well as accurate estimates of weak modes only from response signals.
机译：提出了一种涉及子空间识别的数据处理方法，以仅从测量的响应数据中改进模态参数的识别。该方法的识别过程包括两个阶段，首先估计频率和阻尼比，然后提取模式形状。 Hankel矩阵的元素经过特殊重新排列，以增强对弱特性的识别能力和对噪声污染的鲁棒性。此外，还采用了另一种稳定化图，结合成分能量指数来有效分离杂散模式和物理模式。根据识别出的频率，从通过使用一系列带通滤波器对测量数据进行滤波获得的信号中提取模式形状。用钢管混凝土拱桥对所提出的方法进行了测试，并对其进行了环境激励。在进行参数识别之前，还使用Gabor表示法来处理测量的信号。识别结果表明，所提出的方法可以可靠地分离出杂散模式和物理模式，并仅从响应信号中准确估计出弱模式。

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