TECHNICAL PAPERS
Oct 1, 1989

Modal Identification of Vibrating Structures Using ARMA Model

Publication: Journal of Engineering Mechanics
Volume 115, Issue 10

Abstract

Identification of modal parameters of a vibrating structure is a primary concern in structural dynamics. A time‐domain method for identification of modal parameters is presented in this paper. The relationship between the eigenvalues of a vibrating structure and poles of its autoregressive, moving‐average (ARMA) model is derived. The eigenvalues are then identified by an estimate of the poles of a univariate ARMA model. The relationships between the autoregressive (AR) model and the moving‐average (MA) model of the vibrating structure are derived. The coefficient matrix sequence of the AR model is estimated using the excitation and response data and the impulse response function matrix sequence of the structure is then calculated through the relationship between the AR and MA models. The estimated impulse response function matrix sequence and poles are used for the identification of the eigenvectors of the structure. Freedecay vibration data, white‐noise excitation, or general excitation and corresponding response data can be used with this method.

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
Box, G. E., and Jenkins, G. M. (1976). Time series analysis: forecasting and control. Holden‐Day, San Francisco, Calif.
2.
Brown, D. L., et al. (1979). “Parameter estimation techniques for modal analysis.” SAE paper No. 790221, Soc. of Automotive Engrs., Warrendale, Pa.
3.
Cadzow, J. A. (1973). Discrete‐time system. Prentice‐Hall, Inc., Englewood Cliffs, N.J.
4.
Ewins, D. J. (1986). Modal testing: theory and practice. Research Studies Press Ltd., Letchworth, England.
5.
Gersch, W., and Luo, S. (1972). “Discrete time series synthesis of randomly excited structural system responses.” J. Acoustical Soc. of Am., 51(1), 402–408.
6.
Gersch, W., Nielsen, N. N., and Akaite, H. (1973). “Maximum likelihood estimation of structural parameters from random vibration data.” J. Sound and Vibration, 31(3), 295–308.
7.
Gersch, W., and Yonemoto, J. (1977). “Synthesis of multivariate random vibration systems: a two‐stage least squares AR‐MA model approach.” J. Sound and Vibration, 52(4), 553–565.
8.
Golub, G. H., and Van Loan, C. F. (1983). Matrix computation. Johns Hopkins University Press, Baltimore, Md.
9.
Hoshiya, M., and Saito, E. (1984). “Structural identification by extended kalman filter.” J. Engrg. Mech., ASCE, 110(12), 1757–1770.
10.
Ibrahim, S. R., and Mikulcik, E. C. (1977). “A method for the direct identification of vibration parameters from the free response.” Shock and Vibration Bull., 47(4), 183–198.
11.
Klema, V. C., and Laub, A. J. (1980). “The singular value decomposition: its computation and some applications.” IEEE Trans. on Automatic Control, AC‐25(2), 164–176.
12.
Lawson, C. L., and Hanson, R. J. (1974). Solving least squares problems. Prentice‐Hall, Englewood Cliffs, N.J.
13.
Pandit, S. M., and Wu, S. M. (1983). Time series and system anaysis with application. John Wiley and Sons, New York, N.Y.
14.
Priestley, M. B. (1981). Spectral analysis and time series. Academic Press, New York, N.Y.
15.
Pappa, R. S., and Ibrahim, S. R. (1981). “A parametric study of the ITD modal identification algorithm.” Shock and Vibration Bull., 51(3), 43–72.
16.
Pi, Y. L., and Mickleborough, N. C. (1988). “Time domain modal identification of a linear vibrating structure.” UNICIV Report No. R‐249, Univ. of New South Wales, New South Wales, Australia.
17.
Robinson, E. A., and Silvia, M. T. (1981). Digital foundations of time series analysis. Vol. 2, Holden‐Day, Inc., San Francisco, Calif.
18.
Shinozuka, M., Yun, C. B., and Imai, H. (1982). “Identification of linear structural dynamic systems.” J. Engrg. Mech. Div., ASCE, 108(6), 137–139.
19.
Spitznogle, F. R., et al. (1971). “Representation and analysis of sonar signals, volume 1: improvement in the complex exponential signal analysis computational algorithm.” Report No. U1‐829401‐5 (Office of Naval Research Contract No. N0004‐69‐c‐0315), Texas Instrument, Inc., Temple, Tex.
20.
Vold, H., et al. (1982). “A multi‐input modal estimation algorithm for mini‐computers.” SAE paper, No. 820194, Soc. of Automotive Engrs., Warrendale, Pa.
21.
Vold, H., and Rocklin, T. (1982). “The implementation of a multi‐input modal estimation algorithm for mini‐computers.” Proc. 1st Int. Modal Analysis Conf., Union College, 542–548.
22.
Wang, Z., and Fang, T. (1986). “A time‐domain method for identifying modal parameters.” J. Appl. Mech., 53(3), 28–32.

Information & Authors

Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 115Issue 10October 1989
Pages: 2232 - 2250

History

Published online: Oct 1, 1989
Published in print: Oct 1989

Permissions

Request permissions for this article.

Authors

Affiliations

Yong Lin Pi
Grad. Res. Student, School of Civ. Engrg., Univ. of New South Wales, Kensington, New South Wales, 2033, Australia
N. C. Mickleborough, Member, ASCE
Senior Lect., School of Civ. Engrg., Univ. of New South Wales, Kensington, New South Wales, Australia

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share