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A condition assessment method for time-variant structures with incomplete measurements

机译:测量不完整的时变结构的状态评估方法

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摘要

The structural damage incurred in a seismic event is always time-variant In this paper, a new time-variant structural system identification method is proposed based on a two-stage strategy and incomplete structural acceleration responses. In the first stage, an external excitation identification method is developed for a time-variant structural system. The unknown structural response could be re-constructed with the average acceleration discrete algorithm in this stage. In the second stage, structural parameter is identified and updated with a reduced extended Kalman filter which can improve the computational effort The re-constructed structural response and identified external excitation are used in the second stage for the damage identification and model updating. The proposed method is validated numerically with the simulation of a fifteen-storey shear frame structure subject to earthquake excitation. A model of a fourteen-storey concrete shear wall building was also studied experimentally with shaking table tests to further validate the proposed method. This shear wall building has a two-storey steel frame on top with base isolation. Both the stiffness of the model and the interface force in the isolator at the bottom of the steel frame during the seismic excitation were estimated with the proposed method. Results from both numerical simulations and laboratory tests indicate that the proposed method can be used to identify structural parameters and external excitations effectively based on a few number of polluted structural acceleration measurements.
机译:地震事件中的结构损伤总是时变的。本文基于两阶段策略和不完整的结构加速度响应,提出了一种新的时变结构系统识别方法。在第一阶段,开发了用于时变结构系统的外部激励识别方法。在这一阶段,可以用平均加速度离散算法重建未知的结构响应。在第二阶段,通过减少扩展的卡尔曼滤波器来识别和更新结构参数,这可以改善计算工作。在第二阶段中,使用重建的结构响应和识别出的外部激励来进行损伤识别和模型更新。通过对十五层受地震激励的剪切框架结构进行仿真,对所提方法进行了数值验证。还通过振动台试验对14层混凝土剪力墙建筑模型进行了实验研究,以进一步验证所提出的方法。这座剪力墙建筑的顶部有两层钢框架,带有基础隔离层。利用该方法对模型的刚度和钢框架底部隔震器的界面力进行了估算。数值模拟和实验室测试的结果均表明,该方法可用于根据一些污染的结构加速度测量值有效地识别结构参数和外部激励。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2015年第6期|228-244|共17页
  • 作者单位

    Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, People's Republic of China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, People's Republic of China;

    Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, People's Republic of China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, People's Republic of China;

    Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, People's Republic of China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, People's Republic of China;

    Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, People's Republic of China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, People's Republic of China;

    China Southwest Architectural Design and Research Institute CORP.LTD, Chengdu 610041, People's Republic of China;

    Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, People's Republic of China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, People's Republic of China;

    Beijing Institute of Architecture Design, Beijing, People's Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Time-variant parameter identification; Force identification; Extended Kalman filter; Regularization;

    机译:时变参数识别;部队识别;扩展卡尔曼滤波器正则化;

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