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Seismic Damage Assessment of A Base-Isolated Bridge Using Recursive Subspace Identification Algorithm

机译:基于递归子空间识别算法的基础隔震桥梁震害评估

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Structural damage assessment under external loading, such as earthquake excitation, is an important issue in structural safety evaluation. In this regard, appropriate data analysis and feature extraction techniques are required to interpret the measured data and to identify the state of the structure and, if possible, to detect the damage. Among these techniques tracking modal parameters and estimating the structural current state from its seismic response measurement can provide useful information for structural safety assessment, therefore, on-line or recursive identification technique needs to be developed for structural seismic response monitoring. In this paper, the recursive subspace identification algorithms based on matrix inversion lemma algorithm (RSI-Inversion) with oblique projection technique was developed. Forgetting factor with enlarge window is introduced in the RSI-Inversion to emphasize the latest state of the time-varying system in this method. In addition to identifying the instantaneous dynamic characteristics of the structural system using RSI, a two-stage damage detection algorithm incorporated with the identified results from RSI will also be applied to localize and quantify the structural damage. Seismic responses of a base-isolated bridge are used to verify the proposed identification and the damage assessment algorithms, i.e. specify its corresponding damage location, the time of occurrence during the excitation, and the percentage of stiffness reduction.
机译:在外部荷载下的结构损伤评估,例如地震激励,是结构安全评估中的重要问题。在这方面,需要适当的数据分析和特征提取技术来解释测量的数据并识别结构的状态,并在可能的情况下检测损坏。在这些技术中,跟踪模态参数并从其地震响应测量值估算结构当前状态可以为结构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来监测结构地震响应。本文提出了一种基于矩阵求逆引理算法(RSI-Inversion)和斜投影技术的递归子空间识别算法。在RSI-Inversion中引入了带有放大窗口的遗忘因子,以强调此方法中时变系统的最新状态。除了使用RSI识别结构系统的瞬时动态特性外,结合了RSI识别结果的两阶段损伤检测算法也将用于定位和量化结构损伤。隔震桥梁的地震响应用于验证所提出的识别和损伤评估算法,即指定其相应的损伤位置,在激励过程中发生的时间以及刚度降低的百分比。

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