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Unscented Kalman filter approach for tracking physical and dynamic properties of structures: Validation for multi-story buildings under seismic excitation

机译:用于跟踪结构的物理和动态属性的Unscented Kalman滤波方法:地震激励下的多层建筑验证

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摘要

An improved unscented Kalman filter approach is implemented to estimate induced displacements and changes in structural properties (stiffness, frequencies and damping) during the forced dynamic response of multistory buildings to seismic excitations. The methodology is validated using a fiber-based nonlinear model of a 4-story 4-bays reinforced concrete (RC) frame building subjected to a set of earthquakes causing different levels of inelastic demand on the structure. The variation of the dynamic properties is successfully estimated by iterative updating the filter parameters. The estimated peak values of stiffness and damping reached during the seismic excitation agree with peak inelastic demand values and seem appropriate for detection and damage diagnosis of RC structures.
机译:改进的无创的卡尔曼滤波方法被实施以估计在多晶建筑物的强制动态响应到地震激励期间估计诱导的位移和结构特性(刚度,频率和阻尼)的变化。 使用基于纤维的非线性模型进行验证,该方法的4层4架钢筋混凝土(RC)框架建筑物经历了一组地震,导致结构的不同程度的无弹性需求。 通过迭代更新滤波器参数成功估计动态属性的变化。 在地震激发期间达到刚度和阻尼的估计峰值与峰值非弹性需求值相提并论,似乎适用于RC结构的检测和损伤诊断。

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