An operational modal analysis method in frequency and spatial domain Article Received: 06 June 2005 Accepted: 05 September 2005 DOI:
Cite this article as: Wang, T., Zhang, L. & Tamura, Y. Earthq. Engin. Engin. Vib. (2005) 4: 295. doi:10.1007/s11803-005-0012-0 Abstract
A frequency and spatial domain decomposition method (FSDD) for operational modal analysis (OMA) is presented in this paper, which is an extension of the complex mode indicator function (CMIF) method for experimental modal analysis (EMA). The theoretical background of the FSDD method is clarified. Singular value decomposition is adopted to separate the signal space from the noise space. Finally, an enhanced power spectrum density (PSD) is proposed to obtain more accurate modal parameters by curve fitting in the frequency domain. Moreover, a simulation case and an application case are used to validate this method.
Keywords operational modal analysis modal parameters identification frequency and spatial domain Supported by: China Postdoctoral Science Foundation Under Grant No. 2004035215; Jiangsu Planned Projects for Postdoctoral Research Funds 2004; Aeronautical Science Research Foundation Under Grant No. 04I52065 References
Andersen P, Brincker R
et al. (1996), “Theory of Covariance Equivalent ARMAV Models of Civil Engineering Structures,” Proceeding of 14
th IMAC, Dearbon, Michigan (USA).
Bonnecase D and Provosto M (1990), “Application of a Multimentsional ARMA Model to Modal Analysis under Natural Excitation,”
Proceeding of 8
th IMAC, Kissimmee, Florida (USA).
Brincker R, Zhang LM
et al. (2000), “Modal Identification from Ambient Response using Frequency Domain Decomposition,” Proceeding of the 18
th IMAC, San Antonio, Texas (USA).
Ibrahim SR (1977), “Random Decrement Technique for Modal Identification of Structures,”
AIAA Journal of Spacecraft and Rockets
CrossRef Google Scholar
James GH, Carne TH and Lauffer JP (1993), “The Natural Excitation Technique (NExT) for Modal Parameter Extraction From Operating Wind Turbine,”
Sandia National Laboratories Report, Number SAND92-1666.UC-261.
Overschee PV and Moor BD (1996),
Identification for Linear Systems: Theory, Implementation, Application, Kluwer Academic Publishers.
Richardson MH (1986), “Global Frequency & Damping Estimates from Frequency Response Measurements,”
Proceeding of 4
th IMAC, Los Angeles, California (USA).
Shih CY, Tsuei YG
et al. (1989), “Complex Mode Indication Function and its Applications to Spatial Domain Parameter Estimation,” Proceeding of the 7
th IMAC, Las Vegas, Nevada (USA).
Van Der Auweraer H, and Leuridan J (1987), “Multiple Input Orthogonal Polynomial Parameter Estimation,”
Mechanical System and Signal Processing
CrossRef Google Scholar
Wang T and Zhang LM (2003), “Modal Identification with Frequency Response Function Based on Rational Fraction Orthogonal Polynomials,”
Chinese Journal of Aeronautics
(2): 140–143. (in Chinese)
Zhang LM, Kanda H, Brown D and Allemang R (1985), “A Polyreference Frequency Domain Method for Modal Parameter Identification,”
ASME Paper, Number 85-DET-106. Copyright information
© Journal of Earthquake Engineering and Engineering Vibration 2005