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Modal Identification of a Pedestrian Bridge by Output-Only Analysis

机译:仅产出分析的行人桥梁的模态识别

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Modal parameters (natural frequencies, mode shapes and damping ratios) describe the dynamic properties of mechanical systems. Classical modal analysis, based on Frequency Response Function, require measurement of both input force and response. Normally, it is very difficult to measure the excitation on large structures (bridges, tall buildings, offshore platforms, etc.). However, reasonable estimates of modal parameters can be extracted from ambient vibration or output-only response (wind, traffic, humans, etc.). The dynamic behaviour of a curved pedestrian bridge in the Cartuja Campus of the Universidad de Sevilla (Spain) has been investigated by full-scale testing and numerical models. Nine vibration modes have been identified in the frequency range of 0-30 Hz, by the following algorithms: Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI). Modal parameters estimated from ambient response are compared with those obtained from a three-dimensional finite element model. Both sets of results show very good agreement.
机译:模态参数(自然频率,模式形状和阻尼比)描述了机械系统的动态特性。古典模态分析,基于频率响应函数,需要测量输入力和响应。通常情况下,衡量大型结构(桥梁,高层建筑,海上平台等)的激发非常困难。然而,可以从环境振动或仅输出响应(风,交通,人体等)中提取模态参数的合理估计。通过全规模的测试和数值模型研究了大学德塞米拉(西班牙)的Cartuja校园中弯曲行人桥的动态行为。通过以下算法在0-30Hz的频率范围内识别了九种振动模式:增强频域分解(EFDD)和随机子空间识别(SSI)。与从三维有限元模型获得的那些进行比较从环境响应估计的模态参数。两组结果都表现出很好的一致意见。

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