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Modal systems identification of an eleven-span concrete motorway off-ramp bridge using various excitations

机译:使用各种激励的二跨度混凝土高速公路越斜坡跨坡道的模态系统识别

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This paper addresses and evaluates the influence of different types of dynamic excitation sources on identifiability and reliability of modal parameter identification of an eleven-span, post-tensioned, curved concrete motorway off-ramp bridge. The excitation sources included ground vibration waves generated by traffic on nearby motorways, people jumping on the bridge deck, broad-band linear chirp excitation induced by two light electro-dynamic shakers, and stepped sinusoidal sweeping forcing induced by a rotating eccentric mass shaker. Experimental modal analysis, operational modal analysis (OMA) and OMA with exogenous input system identification by a subspace state-space identification algorithm were carried out to extract the modal characteristics of the bridge. Numerical frequencies and mode shapes were also calculated from a detailed shell-element bridge model with the purpose of serving for the corroboration of the experimental modal properties. Through comprehensive cross-comparisons, it was revealed that the natural frequency discrepancies across different excitation methods were small (within +/- 1.5% relative difference), whist the consistency of the estimated damping ratios was poorer (up to 1.4% absolute difference). Eccentric mass shaker testing enabled identification of all modes predicted by the numerical model but used very heavy equipment. On the other hand, in ambient testing about one-third of the modes were missed, including the fundamental lateral mode. Electrodynamic shaker testing proved attractive as it only missed one mode and achieved its good performance with shakers that could be moved on site with relative ease.
机译:本文解决了不同类型的动态励磁源对十一跨,张紧,弯​​曲混凝土高速公路越斜坡桥梁模态参数识别标识性和可靠性的影响。激励源包括在附近高速公路上的交通产生的地面振动波,人们跳上桥式甲板,由两个轻电动力振动器引起的宽带线性啁啾激励,以及由旋转偏心质量振荡器引起的阶梯式正弦扫描强制。实验模态分析,采用子空间空间识别算法与外源输入系统识别的操作模态分析(OMA)和OMA,以提取桥的模态特性。还根据详细的壳元桥模型计算数值频率和模式形状,其目的是用于证实实验模态特性的核状。通过全面的交叉比较,揭示了不同励磁方法的自然频率差异小(相对差异+/- 1.5%),估计阻尼比的浓度较差(绝对差异高达1.4%)。偏心质量振动器测试能够识别数值模型预测的所有模式,但使用了非常重的设备。另一方面,在环境测试中,错过了三分之一的模式,包括基本的横向模式。电动振动筛检测证明只有错过了一种模式并实现了与可以在现场移动的振动器相对容易地移动的良好表现。

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