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AMBIENT MODAL TESTING OF THE VESTVEJ BRIDGE USING RANDOM DECREMENT

机译:随机递减的Vervej桥的环境模态测试

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This paper presents an ambient vibration study of the Vestvej bridge. The bridge is a typical Danish two-span concrete bridge which crosses a highway. The purpose of the study is to perform a pre-investigation of the dynamic behaviour to obtain information for the design of a demonstration project concerning application of vibration based inspection of bridges. The data analysis process of ambient vibration testing of bridges has traditionally been based on auto and cross spectral densities estimated using an FFT algorithm. In the preanalysis state the spectral densities are all averaged to obtain the averaged spectral densities (ASD). From the ASD the eigenfrequencies of the structure can be identified. This information can be used in the main analysis, where all modal parameters are extracted from the spectral densities. Due to long cabling and low response levels (small ambient loads) the response measurements might have a low signal to noise ratio. Thus, it might be difficult clearly to identify physical modes from the spectral densities. The Random Decrement (RD) technique is another method to perform the data analysis process in the time domain only. It is basically a very simple and easily implemented technique. In this paper it is demonstrated how the RD technique can be used in the preanalysis state in combination with the FFT algorithm, and how the technique can be used in a full analysis.
机译:本文介绍了Vestvej桥的环境振动的研究。这座桥是一个典型的丹麦两跨混凝土桥横跨公路。这项研究的目的是执行的动态行为的预调查,以获得关于桥梁的振动基础检查应用示范项目的设计信息。环境振动桥的测试的数据分析过程在传统上一直基于汽车和使用FFT算法估计交叉谱密度。在预分析状态中的谱密度都平均以获得平均谱密度(ASD)。从ASD结构的特征频率可以被识别。此信息可以在主分析,其中所有的模态参数是从谱密度提取中使用。由于长的布线和低响应水平(小环境负载)的响应测量可能具有低信噪比。因此,可能很难清楚地识别来自谱密度物理模式。的随机减量(RD)的技术是在仅执行时域中的数据分析过程的另一种方法。它基本上是一个非常简单和容易实现的技术。在本文中,证实如何RD技术可以在预分析状态下使用结合FFT算法,以及如何可以在一个完整的分析中使用的技术。

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