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Dynamic Test signal Analysis and Modal Parameters Identification of High-pier Long-span Rail Bridge Based on HHT

机译:基于HHT的高墩长跨度轨桥的动态测试信号分析及模态参数识别

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Dynamic loading test is exerted on a railway continuous beam bridge with a main span of 100m and a pier of 99m high, and dynamic responses are tested under natural excitation. Chebyshev digital filter is used to signal for low-pass filter according to the frequency distribution in FFT spectrum. A series of IMFs are obtained from the Hilbert-Huang Transform of a measured lateral displacement response, which shows: EMD is a self-adaptive signal analysis method that can effectively process non-stationary signal; IMFs can clearly show local features of complicated signal. Modal parameters of the bridge are identified based on HHT and Random Decrement Technique (RDT), the comparison of the identified results obtained from FFT, HHT-RDT and Finite Element Method is made, which show that HHT-RDT is an effective method to identify modal parameters of large bridge structures.
机译:动态加载试验施加在铁路连续梁桥上,主要跨度为100米,码头高99米,在自然激励下测试动力响应。 Chebyshev数字滤波器用于根据FFT频谱中的频率分布来发出低通滤波器。从测量的横向位移响应的Hilbert-Huang变换中获得了一系列IMF,其显示:EMD是一种自适应信号分析方法,可以有效地处理非稳定性信号; IMF可以清楚地显示复杂信号的本地特征。基于HHT和随机递增技术(RDT)识别桥的模态参数,使得从FFT,HHT-RDT和有限元方法获得的所识别结果的比较,这表明HHT-RDT是识别的有效方法大桥结构的模态参数。

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