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Output-only Structural System Identification Method with a New Two-stage Kalman Filter and Incomplete Measurement

机译:仅输出的结构系统识别方法,具有新的两级卡尔曼滤波器和不完整的测量

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摘要

In this paper, a two-stage time-variant structural system identification method is proposed based on incomplete structural acceleration responses. In the first stage, an external excitation identification method is developed for time-variant structural system. The unknown structural response could be re-constructed in state space and regularization method. In the second stage structural parameter is identified and updated by Extended Kalman Filter. The re-constructed structural response and identified external excitation are used in the second stage. The proposed method is validated numerically with the simulation of a fifteen-story shearing structure subject to earthquake excitation. A model of a fourteen-storey concrete shear wall building was studied experimentally with shaking table tests to further validate the proposed method. The shear wall structure has a two-storey steel frame on top with base isolation. Results from both numerical simulations and laboratory tests indicate that the proposed method can be used to identify structural parameter and external excitations effectively based on the structural acceleration responses. The proposed method is capable to identify the dynamic load and structural parameters fairly accurately with measurement noise, numerical model error and environmental disturbances.
机译:本文提出了一种基于不完全结构加速响应的两级时变结构系统识别方法。在第一阶段,为时变结构系统开发了外部励磁识别方法。可以在状态空间和正则化方法中重新构建未知的结构响应。在第二阶段结构参数被扩展的卡尔曼滤波器识别和更新。在第二阶段使用重新构造的结构响应和鉴定的外部激发。该方法以仿真在发生地震激励的情况下用仿真进行了数量验证。通过实验研究了一台十四层混凝土剪力墙建筑的模型,振动台测试以进一步验证所提出的方法。剪力墙结构在顶部有一个双层钢架,基座隔离。来自数值模拟和实验室测试的结果表明,该方法可用于基于结构加速响应有效地识别结构参数和外部激励。所提出的方法能够通过测量噪声,数值模型误差和环境干扰来识别相当准确的动态载荷和结构参数。

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