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Synthesis of vibration control and health monitoring of building structures under unknown excitation

机译:未知激励下建筑结构振动控制与健康监测的综合

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摘要

The vibration control and health monitoring of building structures have been actively investigated in recent years but often treated separately according to the primary objective pursued. In this study, a time-domain integrated vibration control and health monitoring approach is proposed based on the extended Kalman filter (EKF) for identifying the physical parameters of the controlled building structures without the knowledge of the external excitation. The physical parameters and state vectors of the building structure are then estimated and used for the determination of the control force for the purpose of the vibration attenuation. The interaction between the health monitoring and vibration control is revealed and assessed. The feasibility and reliability of the proposed approach is numerically demonstrated via a five-story shear building structure equipped with magneto-rheological (MR) dampers. Two types of excitations are considered: (1) the EI-Centro ground excitation underneath of the building and (2) a swept-frequency excitation applied on the top floor of the building. Results show that the structural parameters as well as the unknown dynamic loadings could be identified accurately; and, at the same time, the structural vibration is significantly reduced in the building structure.
机译:近年来,对建筑结构的振动控制和健康监测进行了积极的研究,但通常根据所追求的主要目标对其进行单独处理。在这项研究中,提出了一种基于扩展卡尔曼滤波器(EKF)的时域综合振动控制和健康监测方法,用于识别受控建筑结构的物理参数,而无需外部激励。然后,估计建筑物结构的物理参数和状态向量,并将其用于确定控制力,以达到减振的目的。健康监测和振动控制之间的相互作用被揭示和评估。通过配备磁流变(MR)阻尼器的五层剪切建筑结构,以数值方式证明了该方法的可行性和可靠性。考虑了两种类型的激励:(1)建筑物下方的EI-Centro地面激励;(2)施加在建筑物顶层的扫频激励。结果表明,可以准确识别结构参数以及未知的动态载荷。同时,大大降低了建筑结构的结构振动。

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