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System identification of a building from multiple seismic records

机译:从多个地震记录中识别建筑物的系统

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This paper describes the identification of finite dimensional, linear, time-invariant models of a 4-story building in the state space representation using multiple data sets of earthquake response. The building, instrumented with 31 accelerometers, is located on the University of California, Irvine campus. Multiple data sets, recorded during the 2005 Yucaipa, 2005 San Clemente, 2008 Chino Hills and 2009 Inglewood earthquakes, are used for identification and validation. Considering the response of the building as the output and the ground motion as the input, the state space models that represent the underlying dynamics of the building in the discrete-time domain corresponding to each data set are identified. The time-domain Eigensystem Realization Algorithm with the Observer/Kalman filter identification procedure are adopted in this paper, and the modal parameters of the identified models are consistently determined by constructing stabilization diagrams. The four state space models identified demonstrate that the response of the building is amplitude dependent with the response frequency and damping, being dependent on the magnitude of ground excitation. The practical application of this finding is that the consistency of this building response to future earthquakes can be quickly assessed, within the range of ground excitations considered (0.005g-0.074g), for consistency with prior response—this assessment of consistent response is discussed and demonstrated with reference to the four earthquake events considered in this study. Inclusion of data sets relating to future earthquakes will enable the findings to be extended to a wider range of ground excitation magnitudes.
机译:本文介绍了使用多个地震响应数据集识别状态空间表示中的4层建筑物的有限维,线性,时不变模型的方法。该建筑物装有31个加速度计,位于加州大学尔湾分校校园内。在2005年尤卡帕(Yucaipa),2005年圣克莱门特(San Clemente),2008年奇诺岗(Chino Hills)和2009年英格尔伍德(Inglewood)地震期间记录的多个数据集用于识别和验证。考虑到建筑物的响应作为输出,而地面运动作为输入,则确定了代表各个数据集的离散时域中建筑物基础动态的状态空间模型。本文采用时域本征系统的观测器/卡尔曼滤波辨识算法,通过构造稳定图一致地确定辨识模型的模态参数。识别出的四个状态空间模型表明,建筑物的响应与振幅有关,与响应频率和阻尼有关,与地面激励的大小有关。此发现的实际应用是,可以在考虑的地面激励范围(0.005g-0.074g)范围内,快速评估该建筑物对未来地震的响应的一致性,以与先前的响应保持一致。并参考本研究中考虑的四个地震事件进行了演示。包含与未来地震有关的数据集将使研究结果能够扩展到更广泛的地面激发震级范围。

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