Liu Yang, Li Yan, Wang Dejun, Zhang Shaoyi
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China ; Postdoctoral Station of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China.
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.
ScientificWorldJournal. 2014 Jan 22;2014:476219. doi: 10.1155/2014/476219. eCollection 2014.
Updating the structural model of complex structures is time-consuming due to the large size of the finite element model (FEM). Using conventional methods for these cases is computationally expensive or even impossible. A two-level method, which combined the Kriging predictor and the component mode synthesis (CMS) technique, was proposed to ensure the successful implementing of FEM updating of large-scale structures. In the first level, the CMS was applied to build a reasonable condensed FEM of complex structures. In the second level, the Kriging predictor that was deemed as a surrogate FEM in structural dynamics was generated based on the condensed FEM. Some key issues of the application of the metamodel (surrogate FEM) to FEM updating were also discussed. Finally, the effectiveness of the proposed method was demonstrated by updating the FEM of a real arch bridge with the measured modal parameters.
由于有限元模型（FEM）规模庞大，更新复杂结构的结构模型耗时较长。对于这些情况，使用传统方法计算成本高昂甚至无法实现。提出了一种两级方法，该方法将克里金预测器和组件模态综合（CMS）技术相结合，以确保大规模结构有限元模型更新的成功实施。在第一级，应用CMS构建复杂结构的合理精简有限元模型。在第二级，基于精简有限元模型生成被视为结构动力学中替代有限元模型的克里金预测器。还讨论了元模型（替代有限元模型）应用于有限元模型更新的一些关键问题。最后，通过用实测模态参数更新一座实际拱桥的有限元模型，证明了所提方法的有效性。
