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结构应变模态识别的随机子空间方法 被引量:11

STOCHASTIC SUBSPACE METHOD FOR STRUCTURAL STRAIN MODAL PARAMETER IDENTIFICATION
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摘要 利用应变位移关系,建立了以应变及应变率为状态变量表示的系统随机状态空间模型,在此基础上,比拟实验位移模态分析的随机子空间方法,建立了实验应变模态分析的随机子空间方法。数值仿真表明此算法可以准确辨识结构应变模态。由于此方法仅需要结构输出量,可应用于环境激励下结构应变模态参数识别。 Based on relationship between strain and displacement,the stochastic state-space model of a system is established with strains and strain change rates being state variables.On the basis of the model,like the stochastic subspace method with experimental displacement modal parameter identification,the stochastic subspace method for experimental strain modal parameter identification is established.The numerical simulation experiment shows that the strain modes can be identified by the proposed method accurately.Because only output is needed in the method,it can be used in the stain modal parameter identification for the structure under ambient excitation.
出处 《振动与冲击》 EI CSCD 北大核心 2008年第6期4-6,共3页 Journal of Vibration and Shock
关键词 应变模态 随机子空间法 参数辨识 strain modes stochastic subspace method parameter identification
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参考文献11

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