Identification of Parametric Variations of Structures Based on Least Squares Estimation and Adaptive Tracking Technique
Identification of Parametric Variations of Structures Based on Least Squares Estimation and Adaptive Tracking Technique
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DOI：
10.1061/(asce)0733-9399(2005)131:3(290
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发表时间：
2005-03
期刊：
影响因子：
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通讯作者：
Jann N. Yang;Silian Lin
中科院分区：
文献类型：
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作者：
Jann N. Yang;Silian Lin
民用基础设施健康监测系统的一个重要目标是识别结构的状态并在损坏发生时检测到损坏。基于实测振动数据的系统识别和损伤检测近年来受到了广泛的关注。通常，结构的损伤可以通过结构元素中某些参数的变化来反映，例如刚度的退化。因此，重要的是发展数据分析技术，能够检测结构元素的参数变化在一个严重的事件，如地震。本文提出了一种基于最小二乘估计的自适应跟踪方法来识别时变结构参数。特别是，所提出的新技术能够跟踪系统参数的突变，从而可以检测到结构损伤的事件和严重程度。将该技术应用于线性结构，包括ASCE一期结构健康监测基准建筑，以及非线性弹性结构，以展示其性能和优势。仿真结果表明，该方法能够跟踪结构因损伤引起的参数变化。
An important objective of health monitoring systems for civil infrastructures is to identify the state of the structure and to detect the damage when it occurs. System identification and damage detection, based on measured vibration data, have received considerable attention recently. Frequently, the damage of a structure may be reflected by a change of some parameters in structural elements, such as a degradation of the stiffness. Hence it is important to develop data analysis techniques that are capable of detecting the parametric changes of structural elements during a severe event, such as the earthquake. In this paper, we propose a new adaptive tracking technique, based on the least-squares estimation approach, to identify the time-varying structural parameters. In particular, the new technique proposed is capable of tracking the abrupt changes of system parameters from which the event and the severity of the structural damage may be detected. The proposed technique is applied to linear structures, including the Phase I ASCE structural health monitoring benchmark building, and a nonlinear elastic structure to demonstrate its performance and advantages. Simulation results demonstrate that the proposed technique is capable of tracking the parametric change of structures due to damages.