首页> 外文会议>The World Forum on Smart Materials and Smart Structures Technology(SMSST'07)(2007年世界智能材料与智能结构技术论坛)论文集 >Identification of the inter-story stiffness of shear type structures using the extended Kalman filer
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Identification of the inter-story stiffness of shear type structures using the extended Kalman filer

机译:使用扩展卡尔曼滤波器识别剪切型结构的层间刚度

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Structural health monitoring for civil engineering has become an important area of research during the last two decades.The goal of this paper is to apply a powerful structural identification tool,the extended Kalman filter(EKF),to evaluate the inter-story stiffness of shear-type structures and assess the structural health condition using the simulated seismic data.In the EKF procedure,the first-order polynomial difference approximation was used to replace the derivatives.The results show that the EKF procedure can identify the inter-story stiffness and damping of the structure efficiently.Comparing the identified inter-story stiffness with original design data,it is possible to evaluate the structural health condition and assess damage in multistory buildings.
机译:在过去的二十年中,土木工程的结构健康监测已成为研究的重要领域。本文的目的是应用功能强大的结构识别工具,扩展的卡尔曼滤波器(EKF),以评估剪力的层间刚度型结构并使用模拟地震数据评估结构健康状况。在EKF过程中,使用一阶多项式差分近似替代导数。结果表明EKF过程可以识别层间刚度和阻尼将确定的层间刚度与原始设计数据进行比较,可以评估结构健康状况并评估多层建筑物的破坏。

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