Technical Papers
Apr 4, 2016

Fast Equivalent Linearization Method for Nonlinear Structures under Nonstationary Random Excitations

Publication: Journal of Engineering Mechanics
Volume 142, Issue 8

Abstract

An efficient analysis procedure has been developed for the random vibration analysis of nonlinear structures subjected to nonstationary random excitations based on the equivalent linearization method and the time-domain explicit formulation method. When the equivalent linearization method is used for the nonstationary random vibration analysis of a nonlinear structural system, equivalent linear systems are constructed for different time instants and the analysis problem is transformed to a series of analyses of these linear systems. Because a large number of linear analyses must be conducted to get reliable results for the original nonlinear system, efficiency of the analysis algorithm for the linear analysis is crucial for its successful application. The time-domain explicit formulation method, recently proposed for the nonstationary random vibration analysis of linear systems, has much higher computational efficiency than other methods owing to the use of explicit expressions of dynamic responses of linear systems. Therefore, a numerical algorithm developed by combining these two methods will be highly efficient. The proposed method is applied to the random vibration analysis of Duffing systems and hysteretic systems under nonstationary excitations. Numerical examples indicate that the proposed approach is feasible and highly efficient.

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Acknowledgments

The project is funded by the National Natural Science Foundation of China (51078150) and the State Key Laboratory of Subtropical Building Science, South China University of Technology, China (2013ZA01).

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 142Issue 8August 2016

History

Received: Aug 25, 2015
Accepted: Jan 27, 2016
Published online: Apr 4, 2016
Published in print: Aug 1, 2016
Discussion open until: Sep 4, 2016

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Authors

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Cheng Su, Ph.D. [email protected]
Professor, State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China Univ. of Technology, 381 Wushan Rd., Tianhe, Guangzhou 510640, China (corresponding author). E-mail: [email protected]
Ph.D. Candidate, School of Civil Engineering and Transportation, South China Univ. of Technology, 381 Wushan Rd., Tianhe, Guangzhou 510640, China. E-mail: [email protected]
Haitao Ma, Ph.D. [email protected]
Professor, State Key Laboratory of Subtropical Building Science, School of Civil Engineering and Transportation, South China Univ. of Technology, 381 Wushan Rd., Tianhe, Guangzhou 510640, China. E-mail: [email protected]

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