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Robust output-only modal identification and monitoring of buildings in the presence of dynamic interactions for rapid post-earthquake emergency management

机译:在动态交互作用下,对建筑物进行稳健的仅输出模式识别和监控,以快速进行震后应急管理

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摘要

A common assumption in the theoretical background of Operational Modal Analysis (OMA) methods concerns the input, which is not measured and consists of a Gaussian white noise characterized by a flat spectrum in the bandwidth of interest. Even if a number of applications have shown that OMA works also when the input spectrum is smooth enough, if this assumption is not fulfilled, the modal identification process may become more complex or even fail due to dominant frequency components of the input appearing in response spectra. Thus, specific techniques and strategies have to be applied to sort out structural dynamic properties from frequencies of the input. It is often possible to identify such non-structural frequencies in the case of spurious harmonics due to rotating equipment, but they can be erroneously identified as structural or even bias the estimates, for instance when such harmonics are close to structural modes. About civil structures, spurious frequencies can be due to rotating machines but also to interaction with adjacent constructions. In the present paper, attention is mainly focused on the issue of modes from surrounding structures appearing in the response of the structure under investigation. Thus, natural frequencies of a sample structure are mixed together with those due to interaction with similar surrounding structures, and its response spectra are characterized by several close peaks in a narrow bandwidth. In order to discriminate modal from spurious frequencies, an integrated use of output-only techniques is illustrated and applied to a real test case. An approach aiming at robust evaluation and monitoring of dynamic properties for fast post-earthquake emergency support is proposed and the experimental field validation is discussed in detail.
机译:在操作模态分析(OMA)方法的理论背景中,一个常见的假设与输入有关,该输入未经测量,由高斯白噪声组成,其特征在于所关注带宽中的频谱平坦。即使许多应用表明,当输入频谱足够平滑时,OMA也会起作用,如果不满足此假设,由于响应频谱中出现输入的主要频率分量,模态识别过程可能会变得更加复杂甚至失败。 。因此,必须应用特定的技术和策略从输入频率中挑选出结构动态特性。在由于旋转设备而产生的寄生谐波的情况下,通常可能会识别出这种非结构频率,但是,例如,当此类谐波接近于结构模式时,它们可能会被错误地识别为结构性甚至是估计偏差。对于土木结构,杂散频率可能是由于旋转的机器引起的,也可能是由于与相邻建筑物的相互作用引起的。在本文中,注意力主要集中在研究结构响应中出现的周围结构的模式问题。因此,样品结构的固有频率与由于与相似的周围结构相互作用而引起的固有频率混合在一起,并且其响应谱的特征是在窄带宽中有几个接近的峰。为了将模态与杂散频率区分开,说明了仅输出技术的集成用法,并将其应用于实际测试用例。提出了一种旨在对震后快速应急保障进行动态特性的鲁棒评估和监测的方法,并详细讨论了实验现场验证。

著录项

  • 来源
    《Engineering Structures》 |2012年第1期|p.436-446|共11页
  • 作者单位

    University ofMolise, Structural and Ceotechnicai Dynamics Lab, Department SAVA Via Duca Degli Abruzzi, 86039 Termoli, Italy;

    University ofMolise, Structural and Ceotechnicai Dynamics Lab, Department SAVA Via Duca Degli Abruzzi, 86039 Termoli, Italy;

    University of Naples Federico II, Department of Structural Engineering, Via Claudio 21, 80125 Napoli, Italy;

    Department of Italian Civil Protection, Seismic Risk Office, Via Vitorchiano 4, 00189 Roma, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    operational modal analysis; automated dynamic identification; structural health monitoring; dynamic interaction;

    机译:操作模式分析;自动动态识别;结构健康监测;动态互动;

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