基于Kriging模型的结构模型频响函数更新

2016 3rd International Conference on Information Science and Control Engineering (ICISCE) Pub Date : 2016-07-08 DOI:10.1109/ICISCE.2016.142

Jutao Wang, Chunjie Wang

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引用次数: 3

摘要

为了提高基于频响函数的模型更新效率，在优化过程中引入Kriging模型，用Kriging模型代替有限元模型进行迭代。目标函数是根据所选频率点的频响数据误差建立的。基于实验设计产生的采样点构建Kriging模型。以GARTEUR结构为例进行了模型更新，成功地更新了有限元频响函数，使之与实验频响函数相匹配。验证了Kriging模型在基于频响的模型更新中的有效性。

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Structural Model Updating of Frequency Response Function Based on Kriging Model

In order to improve the efficiency of frequency response function (FRF)-based model updating, Kriging model is introduced into optimization procedure, where Kriging model replaces the finite element model (FEM) for iteration. The objective function is established based on the error of FRF data at selected frequency points. Kriging model is constructed based on sampling points generated by design of experiment. The model updating of GARTEUR structure is performed as a numerical case study, the FRF of FEM is successfully updated to match the experimental FRF. It can demonstrate the effectiveness of the application of Kriging model in FRF based model updating.

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2016 3rd International Conference on Information Science and Control Engineering (ICISCE)

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