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INTEGRATED STRUCTURAL IDENTIFICATION AND VIBRATION CONTROL OF LARGE-SIZE STRUCTURES UNDER UNKNOWN EXCITATION

机译:未知激励下大型结构的集成结构识别与振动控制

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Structural health monitoring and vibration control of civil engineering structures have been actively investigated but treated separately according to their individual primary objective pursued. It's highly desirable to explore efficient algorithms for conducting integrated structural health monitoring and vibration control. In this paper, a time domain algorithm is proposed for integrated structural identification and vibration control of large-size structures under unknown excitation. A large-size structural building is decomposed into small size substructures based on its finite element formulation. Interaction effect between adjacent substructures is considered as ' additional unknown inputs' to each substructure. Structural parameters are estimated based on the extended Kalman estimator. Structural optimal active control forces are determined by the linear quadratic Gaussian (LQG) control scheme based on estimated values of structural parameters. The unmeasured external excitations are estimated by the leastsquares estimation approach. A numerical example of integrated structura l identification and vibration control of a multi-story shear building under unmeasured external excitation is studied to illustrate the performance of the proposed algorithm.
机译:正在积极调查土木工程结构的结构健康监测和振动控制,但根据其个人主要目标分开治疗。探索用于进行综合结构健康监测和振动控制的有效算法非常希望。本文提出了一种时域算法,用于未知激励下大尺寸结构的集成结构识别和振动控制。基于其有限元配方,大尺寸的结构建筑物分解成小尺寸的子结构。相邻子结构之间的交互效果被认为是每个子结构的“附加未知输入”。基于扩展卡尔曼估计估计结构参数。结构最佳主动控制力由基于结构参数的估计值的线性二次高斯(LQG)控制方案确定。未测量的外部激励估计是由最小估计方法估算的。研究了未测量的外部激励下的多层剪切建筑的集成结构识别和振动控制的数值例子,以说明所提出的算法的性能。

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