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Frequency response function-based model updating using Kriging model

机译：使用克里格模型的基于频率响应函数的模型更新

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摘要

An acceleration frequency response function (FRF) based model updating method is presented in this paper, which introduces Kriging model as metamodel into the optimization process instead of iterating the finite element analysis directly. The Kriging model is taken as a fast running model that can reduce solving time and facilitate the application of intelligent algorithms in model updating. The training samples for Kriging model are generated by the design of experiment (DOE), whose response corresponds to the difference between experimental acceleration FRFs and its counterpart of finite element model (FEM) at selected frequency points. The boundary condition is taken into account, and a two-step DOE method is proposed for reducing the number of training samples. The first step is to select the design variables from the boundary condition, and the selected variables will be passed to the second step for generating the training samples. The optimization results of the design variables are taken as the updated values of the design variables to calibrate the FEM, and then the analytical FRFs tend to coincide with the experimental FRFs. The proposed method is performed successfully on a composite structure of honeycomb sandwich beam, after model updating, the analytical acceleration FRFs have a significant improvement to match the experimental data especially when the damping ratios are adjusted.
机译：提出了一种基于加速频率响应函数（FRF）的模型更新方法，该方法将Kriging模型作为元模型引入到优化过程中，而不是直接迭代有限元分析。克里格模型被认为是一种快速运行的模型，可以减少求解时间并促进智能算法在模型更新中的应用。 Kriging模型的训练样本是通过实验设计（DOE）生成的，其响应对应于选定频率点上实验加速度FRF与有限元模型（FEM）对应物之间的差异。考虑到边界条件，提出了一种两步DOE方法来减少训练样本的数量。第一步是从边界条件中选择设计变量，所选变量将传递到第二步以生成训练样本。将设计变量的优化结果作为设计变量的更新值来校准FEM，然后分析FRF倾向于与实验FRF一致。在蜂窝夹层梁的组合结构上成功地进行了所提方法，模型更新后，特别是在调整阻尼比的情况下，解析加速度FRFs与实验数据吻合明显改善。

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  • 来源
    《Mechanical systems and signal processing》 |2017年第ptaa期|218-228|共11页
  • 作者

    J.T. Wang; C.J. Wang; J.P. Zhao;

  • 作者单位

    School of Mechanical Engineering and Automation, Beihang University, Beijing, China;

    School of Mechanical Engineering and Automation, Beihang University, Beijing, China,State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China;

    School of Mechanical Engineering and Automation, Beihang University, Beijing, China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Model updating; Metamodel; Frequency response function; Optimization;

    机译：模型更新;元模型频率响应功能;优化;

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