摘要
在试验模态分析中,确定系统阶次以及极点的正确选择是一个非常重要的问题。到目前为止,这项工作一般是由人工来完成。但是在复杂或者大阻尼结构中,这个过程尤其繁琐并且耗时。本文中采用模糊聚类方法对极点进行分类,实现了极点的自动选取,减少了人工选取的工作量。
In the structural dynamics domain, one of the key issues of experimental modal analysis is the selection of the correct modal order and related to this, the selection of valid system poles, corresponding to structural or true modes. Up to now, it has been done manually. It is a tedious work and time consuming iterations, in particular in the case of complex structures or structures with high damping. In this paper, fuzzy clustering is introduced as a tool for automatic selection of structural poles from stabilization charts for broadband modal identification.
出处
《地震工程与工程振动》
CSCD
北大核心
2009年第1期130-134,共5页
Earthquake Engineering and Engineering Dynamics
基金
航空科学基金项目(04I52065)
关键词
试验模态分析
稳定图
模糊聚类
modal analysis
stabilization charts
fuzzy clustering
