基于环境激励的随机子空间法模态试验与仿真分析  

Modal testing and simulation analysis based on stochastic subspace identification of ambient excitation

作　　者：刘水华[1] 徐丽[1] 

机构地区：[1]广州大学工程抗震研究中心,广东广州510405

出　　处：《广州大学学报（自然科学版）》2012年第4期52-56,共5页Journal of Guangzhou University:Natural Science Edition

基　　金：国家自然科学基金项目(90815027);115国家支撑计划项目(2009BAJ28B03)资助

摘　　要：以1幢6层钢框架结构为例,分别采用基于环境激励的随机子空间模态识别法(SSI)与频域分解法(FDD)从加速度测试信号中识别其模态参数,识别结果一致.最后选用SSI法对试验的有限元模型进行了仿真分析.研究表明:仿真与测试分析结果吻合较好,具有可靠的精度和一定的适用性.Taking a six-story steel frame as an example, the method of stochastic subspace identification （SSI） is used to identify the modal parameters from the tested acceleration signals, and the correctness is verified by the method of frequency domain decomposition （FDD）. Then the simulation analysis of the tested finite element model based on SSI is conducted and the results match well with the tested ones, which indicate that the method of simulation analysis is reliable and applicable.

关 键 词：环境激励 随机子空间 模态参数识别 仿真分析 

分 类 号：TU317.1[建筑科学—结构工程]