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Novel Reduced Model Based Damage Detection of Frame Structures

机译：新型基于简化模型的框架结构损伤检测

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摘要

Due to the complexity of frame structures, a simple shear model is frequently adopted for the frame to model its dynamic responses when performing structural damage detection. The estimated story stiffnesses of the shear model are used to infer the damage status of the frame. However, as pointed out in many studies, due to the existence of modeling error, using a shear model to carry out damage detection for the frame often leads inaccurate damage detection results. In this paper, a novel reduced model is proposed for the damage detection of frame structures, which, compared with shear model, can significantly reduce the modeling error and, thus, improve damage detection accuracy for the frame structure. Moreover, an iterative substructure identification method is proposed to identify the parameters of the reduced model. Finally, a numerical example of an eight-story frame structure is utilized to demonstrate the effectiveness of the proposed damage detection method; the results show that, by using the reduced model, the damage detection accuracy of the frame structure is greatly improved, compared with using a shear structure model.
机译：由于框架结构的复杂性，在进行结构损伤检测时，框架通常采用简单的剪切模型来对框架的动力响应进行建模。剪切模型的估计层刚度用于推断框架的损坏状态。但是，正如许多研究所指出的那样，由于存在建模误差，因此使用剪切模型对框架进行损伤检测通常会导致不准确的损伤检测结果。本文提出了一种新颖的简化模型用于框架结构的损伤检测，与剪切模型相比，该模型可以大大减少建模误差，从而提高框架结构的损伤检测精度。此外，提出了一种迭代子结构识别方法来识别简化模型的参数。最后，利用一个八层框架结构的数值实例来证明所提出的损伤检测方法的有效性。结果表明，与使用剪切结构模型相比，使用简化模型可以显着提高框架结构的损伤检测精度。

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