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文章基本信息

  • 标题:Parameter Identification of Composite Materials Based on Spectral Model by Using Model Updating Method
  • 本地全文:下载
  • 作者:Rui Sun ; Ricardo Perera ; Enrique Sevillano
  • 期刊名称:International Journal of Polymer Science
  • 印刷版ISSN:1687-9422
  • 电子版ISSN:1687-9430
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/7310846
  • 出版社:Hindawi Publishing Corporation
  • 摘要:A model updating approach based on a spectral element model and solved with a particle swarm optimization (PSO) method is proposed to identify the vibration-damping properties of composite materials. In comparison with conventional finite element model updating, a composite beam is modeled in a unified way by using a spectral approach whose computational cost is significantly reduced due to its simplicity. In this way, the dynamic response can be captured accurately by using a very limited number of elements. To identify the material properties, experimental tests are carried out to get the initial parameters that are introduced to initialize the spectral model; then, a model updating process solved with a PSO algorithm is implemented to obtain the real material parameters. It has been demonstrated that the proposed spectral model is a potential tool for model updating and parameter identification.
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