Stochastic Response of a Random Mass Structure
Publication: Journal of Engineering Mechanics
Volume 131, Issue 7
Abstract
This paper proposes a polynomial approximation approach for the estimation of the stochastic response of a random mass structure subjected to an evolutionary random excitation. A bounded, monopeak, and symmetrically distributed probability density function, called -PDF, together with the Gegenbauer polynomial approximation, is introduced to deal with stochastic dynamic response problems of the random mass structures. The -PDF model is used to describe the random parameters in the engineering random structures. And then the Gegenbauer polynomial approximation method is used to reduce the random structures into its deterministic equivalent one. The numerical example shows the effectiveness of the proposed method to explore dynamic phenomena in random structures.
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Acknowledgment
This project is supported by the China National Nature Science Foundation (50335030) and the Doctoral Foundation of China Education Ministry.
References
Deodatis, G., and Shinozuka, M. (1988). “Atoregressive model for nonstationary and stochastic processes.” J. Eng. Mech., 114, 1995–2012.
Fang, T., and Leng, X. L. (2005). “ -PDF and Gegenbauer polynomial approximation for dynamic response problem of random structure.” Acta Mech. Sin., 20(3), 292–298.
Fang, T., Leng, X. L., and Song, C. Q. (2005). “Chebyshev polynomial approximation for dynamical response problems of random structures.” J. Sound Vib., 266, 198–206.
Fang, T., Li, J. Q., and Sun, M. N. (2002). “A unified solution to evolutionary random response problems.” J. Sound Vib., 253(4), 909–916.
Fang, T., and Sun, M. N. (1997). “A unified approach to two types of evolutionary random response problems in engineering.” Arch. Appl. Mech., 67(6), 496–506.
Li, J. (1996). Stochastic structural system—Analysis and modeling, Science Press, Beijing (in Chinese).
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© 2005 ASCE.
History
Received: Feb 20, 2004
Accepted: Oct 20, 2004
Published online: Jul 1, 2005
Published in print: Jul 2005
Notes
Note. Associate Editor: Gerhart I. Schueller
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