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Loop substructure identification for shear structures of unknown structural mass using synthesized references

机译:使用合成参考的未知结构块剪切结构的环形结构识别

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摘要

Shear structure is widely adopted to model the dynamics for building structures. Thus, developing accurate and efficient parameter identification methods for a shear structure plays a crucial role in structural health monitoring for building structures. In the authors' previous studies, a loop substructure identification (LSI) method was proposed for shear structures, in which the dynamic equation of a two-story substructure is utilized to establish a loop identification sequence, directly estimating the substructure's parameters. To ensure the convergence of the loop identification sequence, some structural control (SC) systems are needed to change the critical structural responses in a favorable way. However, the limited availability of SC systems in general buildings restrains the wide application of this controlled loop substructure identification (CLSI) method. In this paper, the original LSI method is first reformed, which can perform the LSI even if the structural mass is unknown. Then, a new reference selection method is proposed to make the LSI method converge without the help of SC systems. Different synthesized reference responses, formed by a weighted linear combination of measured structural responses, are used to formulate the LSI sequence. Next, an optimization strategy is proposed to determine the optimal weighting factors of the synthesized reference responses, which makes the LSI converged. Finally, the LSI is carried out for a 20-story shear structure, the identification results of which show that the proposed LSI method, combined with the proposed reference selection method, can very accurately estimate the substructure parameters of the shear structure.
机译:剪切结构被广泛采用以模拟建筑结构的动态。因此,发育剪切结构的准确和有效的参数识别方法在构建结构的结构健康监测中起着至关重要的作用。在作者之前的研究中,提出了一种用于剪切结构的环形子结构识别(LSI)方法,其中利用了两层子结构的动态方程来建立循环识别序列,直接估计子结构的参数。为了确保环路识别序列的收敛,需要一些结构控制(SC)系统以以有利的方式改变临界结构响应。然而,一般建筑物中SC系统的有限可用性限制了这种受控环结构识别(CLSI)方法的广泛应用。在本文中,首先改革原始LSI方法,即使结构质量未知,也可以执行LSI。然后,提出了一种新的参考选择方法,以使LSI方法在没有SC系统的帮助下会聚。通过测量的结构响应的加权线性组合形成的不同合成参考响应,用于配制LSI序列。接下来,提出了一种优化策略来确定合成参考响应的最佳加权因子,这使得LSI融合。最后,LSI用于20层剪切结构,其识别结果表明,所提出的LSI方法与所提出的参考选择方法组合,可以非常精确地估计剪切结构的子结构参数。

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