Blind modal identification of output-only non-proportionally-damped structures by time-frequency complex independent component analysis

被引:25
作者
Nagarajaiah, Satish [1 ,2 ]
Yang, Yongchao [1 ]
机构
[1] Rice Univ, Dept Civil & Environm Engn, Houston, TX 77005 USA
[2] Rice Univ, Dept Mech Engn, Houston, TX 77005 USA
关键词
output-only modal identification; complex modes; non-proportional damping; blind source separation; complex independent component analysis; time-frequency analysis; SOURCE SEPARATION; LIMITED SENSORS;
D O I
10.12989/sss.2015.15.1.081
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Recently, a new output-only modal identification method based on time-frequency independent component analysis (ICA) has been developed by the authors and shown to be useful for even highly-damped structures. In many cases, it is of interest to identify the complex modes of structures with non-proportional damping. This study extends the time-frequency ICA based method to a complex ICA formulation for output-only modal identification of non-proportionally-damped structures. The connection is established between complex ICA model and the complex-valued modal expansion with sparse time-frequency representation, thereby blindly separating the measured structural responses into the complex mode matrix and complex-valued modal responses. Numerical simulation on a non-proportionally-damped system, laboratory experiment on a highly-damped three-story frame, and a real-world highly-damped base-isolated structure identification example demonstrate the capability of the time-frequency complex ICA method for identification of structures with complex modes in a straightforward and efficient manner.
引用
收藏
页码:81 / 97
页数:17
相关论文
共 19 条
  • [1] Response-only modal identification of structures using limited sensors
    Abazarsa, F.
    Ghahari, S. F.
    Nateghi, F.
    Taciroglu, E.
    [J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2013, 20 (06) : 987 - 1006
  • [2] [Anonymous], MECH SYST SIGNAL PR
  • [3] A study and extension of second-order blind source separation to operational modal analysis
    Antoni, J.
    Chauhan, S.
    [J]. JOURNAL OF SOUND AND VIBRATION, 2013, 332 (04) : 1079 - 1106
  • [4] Bingham E, 2000, Int J Neural Syst, V10, P1, DOI 10.1142/S0129065700000028
  • [5] Modal identification of linear non-proportionally damped systems by wavelet transform
    Erlicher, Silvano
    Argoul, Pierre
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (03) : 1386 - 1421
  • [6] Modified Cross-Correlation Method for the Blind Identification of Structures
    Hazra, B.
    Roffel, A. J.
    Narasimhan, S.
    Pandey, M. D.
    [J]. JOURNAL OF ENGINEERING MECHANICS, 2010, 136 (07) : 889 - 897
  • [7] Independent component analysis:: algorithms and applications
    Hyvärinen, A
    Oja, E
    [J]. NEURAL NETWORKS, 2000, 13 (4-5) : 411 - 430
  • [8] AN EIGENSYSTEM REALIZATION-ALGORITHM FOR MODAL PARAMETER-IDENTIFICATION AND MODEL-REDUCTION
    JUANG, JN
    PAPPA, RS
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1985, 8 (05) : 620 - 627
  • [9] Physical interpretation of independent component analysis in structural dynamics
    Kerschen, G.
    Poncelet, F.
    Golinval, J. -C.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (04) : 1561 - 1575
  • [10] A framework for blind modal identification using joint approximate diagonalization
    McNeill, S. I.
    Zimmerman, D. C.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2008, 22 (07) : 1526 - 1548