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Tracking modal parameters of building structures from experimental studies and earthquake response measurements

机译：通过实验研究和地震响应测量跟踪建筑结构的模态参数

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摘要

Since tracking modal parameters and estimating the structural current state from building seismic response measurement can provide useful information for building safety assessment, online or recursive identification techniques need to be developed and implemented on building seismic response monitoring. In this article, two recursive subspace identification algorithms are developed. One is the recursive subspace identification with BonaFide LQ renewing algorithm (recursive subspace identification BonaFide) incorporated with moving window technique to identify modal parameters at each time instant during the earthquake excitation. Besides, recursive subspace identification based on matrix inversion lemma algorithm (recursive subspace identification Inversion) is also used and keeps the same data window with recursive subspace identification BonaFide only for the initial identification and then appends the following data points to identify modal parameters for the whole excitation time history. A forgetting factor is introduced to emphasize the latest state of system in this method. Two different sets of building seismic response data are used to verify the applicability of the proposed methods. One is the three-story steel structure with abrupt change of story stiffness shaking table test in laboratory, the other is a series of seismic response of a four-story-reinforced concrete elementary school building, including several large seismic events. It is concluded that both methods can detect the time when the floor stiffness was changed but recursive subspace identification Inversion with forgetting factor can provide more accurate estimation of the change of stiffness.
机译：由于跟踪模态参数并根据建筑物地震响应测量值估算结构当前状态可以为建筑物安全评估提供有用的信息，因此需要开发在线或递归识别技术，并将其应用于建筑物地震响应监测。在本文中，开发了两种递归子空间识别算法。一种是结合BonaFide LQ更新算法的递归子空间识别（递归子空间识别BonaFide），该算法结合了移动窗口技术，可以在地震激发的每个时刻识别模态参数。此外，还使用了基于矩阵求逆引理算法的递归子空间标识（递归子空间标识Inversion），并与递归子空间标识BonaFide保持相同的数据窗口，仅用于初始标识，然后附加以下数据点以标识整个系统的模态参数。激发时间历史。引入遗忘因素以强调此方法中系统的最新状态。使用两组不同的建筑物地震响应数据来验证所提出方法的适用性。一个是三层钢结构，其在实验室中的层刚度振动台试验突然改变，另一个是四层钢筋混凝土小学建筑的一系列地震响应，包括几次大型地震事件。结论是，两种方法都可以检测地板刚度改变的时间，但是递归子空间识别具有遗忘因子的反演可以更准确地估计刚度的变化。

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