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A New Algorithm for the System Identification of Shear Structures

机译:剪切结构系统识别的新算法

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In general terms, the aim of "System Identification" is to determine the dynamic characteristics of mechanical systems. These characteristics include both frequency characteristics (frequencies, mode shapes, and damping ratios) and the system's characteristic matrices (the matrices of mass, viscous damping, stiffness, Coulomb damping or coefficients of friction, and the Duffing stiffness). In such fields as "Damage Detection" in structures, identification of the system's characteristic matrices is of the same importance as the identification of the frequency characteristics, or even more so, by identifying these matrices, the intended goals in Damage Detection can be achieved. In line with such identification, a new algorithm for the system identification of shear structures is presented in the paper. Taking into account the fundamental and significant effect of noise attenuation in boosting the levels of precision and the correctness of system identification, this method helps to achieve noise attenuation by trimming noisy records in the frequency domain, in parallel with the identification of the structural system. The efficiency and precision of the method have been examined through the application of a "closed loop solution" to a five storey model of shear structure.
机译:一般而言,“系统识别”的目的是确定机械系统的动态特性。这些特性包括频率特性(频率,模态形状和阻尼比)和系统的特性矩阵(质量矩阵,粘性阻尼,刚度,库仑阻尼或摩擦系数以及达芬奇刚度)。在诸如结构中的“损伤检测”之类的领域中,系统特征矩阵的识别与频率特征的识别具有相同的重要性,甚至更重要的是,通过识别这些矩阵,可以实现损伤检测中的预期目标。基于这种识别,本文提出了一种新的剪切结构系统识别算法。考虑到噪声衰减在提高精度和系统识别正确性方面的根本和显着影响,因此该方法通过在频域中修整噪声记录,与结构系统的识别并行,有助于实现噪声衰减。通过将“闭环解决方案”应用于剪切结构的五层模型,已经检验了该方法的效率和精度。

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