基于稳定图的随机子空间识别结构模态参数

英文篇名：Research on Structural Modal Parameter Identified by Stochastic Subspace Based on Stabilization Diagrams
中文刊名：苏州科技学院学报(工程技术版)
英文刊名：Journal of Suzhou University of Science and Technology(Engineering and Technology)
作者：常军 ; 顾坚 ; 孟浩
英文作者：CHANG Jun1 ; GU Jian2 ; MENG Hao3(1.School of Civil Engineering ; SUST ; Suzhou 215011 ; China ; 2.Science and Technology Department ; SUST ; Suzhou 215011 ; China ; 3.Architecture Vocational Training Centre of Suzhou ; Suzhou 215004 ; China)
中文关键词：参数识别 ; 环境激励 ; 随机子空间 ; 稳定图
英文关键词：parameter identification ; ambient excitation ; stochastic subspace identification ; stabilization diagram
出版日期：2009-12-15
机构：苏州科技学院土木工程学院;苏州科技学院科技处;苏州建筑职业培训中心;
年：2009
期：04
出版单位：苏州科技学院学报(工程技术版)

摘要

结构模态参数识别是结构健康监测的基础或输入。为了有效地识别环境激励下的结构模态参数,使用改进的稳定图结合随机子空间方法进行分析,并采用有限元模型进行了验证。结果表明:改进的稳定图结合随机子空间方法是一种行之有效的结构模态识别方法,可以有效地从环境激励的线性结构响应中获取结构模态参数,并避免了虚假模态的出现。
Structural modal parameters are the basis and inputs of structural health monitor system.In order to identify structural modal parameters accurately under the ambient excitation,the improved stabilization diagram combined with the stochastic subspace identification is used to make analysis,and a finite element model is used to verify the improvement.The result shows that the improvement is an effective method to identify the structural modal parameters,which will effectively obtain the structural modal parameters from the linear structural response under ambient excitation without false modes.

引文

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