Technical Papers
Jul 31, 2014

Green’s Function Method for Stability Analysis of Stochastic Structures

Publication: Journal of Engineering Mechanics
Volume 141, Issue 3

Abstract

The governing equations for the stability analysis of stochastic frame structures with small variations of the material and geometry parameters are established for the means and deviations of responses by including first-order terms. Taking advantage of the similarity between these equations and the governing equations for static analysis, a new Green’s function method based on the fundamental solutions for static problems is proposed for the stability analysis of stochastic structures in conjunction with multidomain techniques. The numerical examples presented show that there is good agreement between the results of the proposed method and those from Monte Carlo simulation for small variation situations, and that the new approach is more efficient than the perturbation stochastic FEM. Based on the numerical results, the effects of the covariance type, correlation scale parameter, coefficient of variation, and discretization of random fields, as well as the location of fictitious loads, are investigated.

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Acknowledgments

This project was funded by the National Natural Science Foundation of China (51078150); the State Key Laboratory of Subtropical Building Science, South China University of Technology (2013ZA01); and the Research Fund for the Doctoral Program of Higher Education (20110172120038).

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Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 141Issue 3March 2015

History

Received: Jul 24, 2011
Accepted: Jul 2, 2014
Published online: Jul 31, 2014
Published in print: Mar 1, 2015

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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]
Xueming Fan, Ph.D. [email protected]
Lecturer, 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]
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]
Zhiyong Gu
Graduate Student, School of Civil Engineering and Transportation, South China Univ. of Technology, 381 Wushan Rd., Tianhe, Guangzhou 510640, China.

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