期刊文献+

FSDD运行模态参数识别方法中不确定性的计算 被引量:1

UNCERTAINTY CALCULATION IN FREQUENCY SPATIAL DOMAIN DECOMPOSITION MODAL PARAMETERS IDENTIFICATION METHOD
原文传递
导出
摘要 运行模态参数识别是一种只利用响应数据进行模态分析的方法.环境激励条件下获得的识别结果会存在随机不确定性,这种不确定程度可以通过模态参数的统计特性进行描述评价.以运行模态分析中的频域空间域分解方法(FSDD)为研究对象,通过对整个模态识别算法进行摄动分析,确定出模态参数对测量误差的灵敏度,实现了模态参数方差的计算.计算过程分为四步:第一步,响应信号功率谱矩阵中噪声方差的估计;第二步,增强功率谱方差的计算;第三步,极点协方差的计算;第四步,模态参数方差的计算.最后通过一个4自由度仿真算例与张家港桥梁实测算例对所给出的方法进行了验证与应用. Operational modal parameters identification is a modal analysis method,which only is based upon the response data. The modal parameters obtained from ambient vibration are subject to statistical un- certainty. The uncertainty can be evaluated by its statistical characteristics. Variance calculation in frequen-cy spatial domain decomposition is illustrated based on sensitivity analysis of the algorithm. The calculation flow includes four steps: (1) Estimating covariance of power spectrum density,(2) Calculating variance of enhanced power spectrum density, (3) Calculating poles covariance, (4) Calculating modal parameters vari-ance. Finally,the present method is validated by comparing the computational result of four DOFs system with the experimentally measured results of Zhang-Jia-Gang bridge.
出处 《固体力学学报》 CAS CSCD 北大核心 2013年第6期614-619,共6页 Chinese Journal of Solid Mechanics
基金 山东省自然科学基金项目(ZR2011EEQ023) 青岛市科技计划项目(13-1-4-204-jch) 中央高校基本科研业务费专项基金项目(12CX04051A)资助
关键词 运行模态分析 模态参数不确定性 FSDD方法 灵敏度分析 MONTE CARLO模拟 operational modal analysis,modal parameter uncertainty,frequency spatial domain decomposition method, sensitivity analysis, Monte Carlo simulation
  • 相关文献

参考文献9

  • 1Cauberghe B. Applied Frequency-Domain System Identification in the Field of Experimental and OperationalModal Analysis[D]. Belgium: Vrije Universiteit Brus-sel ,2004.
  • 2Brincker R,Zhang L M, Andersen P. Modal Identifi-cation from Ambient Response using Frequency Do-main Decomposition [C]//Proc of the 18th Interna-tional Modal Analysis Conference, San Antonio,USA,2000.
  • 3王彤,张令弥,田村幸雄.An operational modal analysis method in frequency and spatial domain[J].Earthquake Engineering and Engineering Vibration,2005,4(2):295-300. 被引量:9
  • 4Zhang L M, Wang T, Tamura Y. A frequency-spatialdomain decomposition (FSDD) method for operation-al modal analysis [J]. Mechanical Systems and SignalProcessing,2010,24(5) :1227-1239.
  • 5Troyer T,Guillaume P, Steenackers G, Fast variancecalculation of polyreference least- squares frequency -domain estimates [J]. Mechanical Systems and SignalProcessing,2009,23(5) :1423-1433.
  • 6Carden E P,Mita A. Challenges in developing confi-dence intervals on modal parameters estimated forlarge civil infrastructure with stochastic subspace i-dentification[J]. Structural Control and Health Moni-toring,2009 ,23(1) :217-225.
  • 7贝达特,皮尔索,凌福根译.相关分析和谱分析的工程应用[M].北京:国防工业出版社,1983.
  • 8Pintelon R,Guillaume P,Schoukens J. Uncertaintycalculation in (operational) modal analysis [J]. Me-chanical Systems and Signal Processing,2007,21 (6):2359-2373.
  • 9李中付,华宏星,宋汉文,陈之炎.非稳态环境激励下线性结构的模态参数辨识[J].振动工程学报,2002,15(2):139-143. 被引量:20

二级参考文献2

  • 1盛骤 谢式千.概率论与数理统计[M].北京:高等教育出版社,1989.189-194.
  • 2李中付 宋汉文 等.基于环境激励的模态参数识别方法综述[J].振动工程学报,2000,13:578-585.

共引文献35

同被引文献12

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部