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基于模糊聚类的模态参数全因素自动验证方法

周思达 周小陈 刘莉 杨武

周思达, 周小陈, 刘莉, 等 . 基于模糊聚类的模态参数全因素自动验证方法[J]. 北京航空航天大学学报, 2015, 41(5): 811-816. doi: 10.13700/j.bh.1001-5965.2014.0344
引用本文: 周思达, 周小陈, 刘莉, 等 . 基于模糊聚类的模态参数全因素自动验证方法[J]. 北京航空航天大学学报, 2015, 41(5): 811-816. doi: 10.13700/j.bh.1001-5965.2014.0344
ZHOU Sida, ZHOU Xiaochen, LIU Li, et al. Fuzzy-clustering-based all-factor automatous validation approach of modal parameters of structures[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 811-816. doi: 10.13700/j.bh.1001-5965.2014.0344(in Chinese)
Citation: ZHOU Sida, ZHOU Xiaochen, LIU Li, et al. Fuzzy-clustering-based all-factor automatous validation approach of modal parameters of structures[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 811-816. doi: 10.13700/j.bh.1001-5965.2014.0344(in Chinese)

基于模糊聚类的模态参数全因素自动验证方法

doi: 10.13700/j.bh.1001-5965.2014.0344
基金项目: 北京理工大学基础研究基金(20120142009)
详细信息
    通讯作者:

    周思达(1984—),男,云南昆明人,讲师,zhousida@bit.edu.cn,主要研究方向为飞行器结构动力学、时变结构系统建模与辨识.

  • 中图分类号: N945.14;TH113.1

Fuzzy-clustering-based all-factor automatous validation approach of modal parameters of structures

  • 摘要: 为了解决实验模态分析中的模态参数验证问题,利用模糊聚类分析实现了模态参数的自动验证,降低了模态参数验证对使用者主观因素的依赖,并提高了实验模态分析工作中模态参数验证的效率.首先,将模态参数分为标量型和向量型;其次,采用传统的模糊聚类方法对标量型模态参数进行综合聚类分析;再次,为解决模糊聚类高维困难,提出了一个基于模态置信准则的距离函数,并以此完成模态振型的模糊聚类;然后,综合标量型和向量型模态参数模糊聚类的结果,实现模态参数的全因素自动验证;最后,通过实验结果对所提出的方法进行了验证,结果表明该方法能够自动、准确、高效地完成结构模态参数的验证.

     

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出版历程
  • 收稿日期:  2014-06-11
  • 修回日期:  2014-07-22
  • 刊出日期:  2015-05-20

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