TECHNICAL PAPERS
Jun 1, 1998

Closed-Form Solutions for the Response of Linear Systems to Fully Nonstationary Earthquake Excitation

Publication: Journal of Engineering Mechanics
Volume 124, Issue 6

Abstract

New explicit closed-form solutions are derived for the evolutionary correlation and power spectral–density (PSD) matrices characterizing the nonstationary response of linear elastic, both classically and nonclassically damped, multi-degree-of-freedom (MDOF) systems subjected to a fully nonstationary earthquake ground motion process. The newly developed earthquake ground motion model considered represents the temporal variation of both the amplitude and the frequency content typical of real earthquake ground motions. To illustrate the analytical results obtained, a three-dimensional unsymmetrical building equipped with viscous bracings is considered with a single-component ground motion acting obliquely with respect to the building principal directions. These new analytical solutions for structural response statistics are very useful in gaining more physical insight into the nonstationary response behavior of linear dynamic systems subjected to realistic stochastic earthquake ground motion models. Furthermore, the evolution in time of the cross-modal correlation coefficients is examined and compared with the classical stationary solution for white-noise ground motion excitation. The effects of cross-modal correlations on various mean-square response quantities also are investigated using the analytical solutions obtained.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 124Issue 6June 1998
Pages: 684 - 694

History

Published online: Jun 1, 1998
Published in print: Jun 1998

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Authors

Affiliations

B.-F. Peng
Struct. Engr., McDermott Engrg., Houston LLC, Offshore Struct. Div., P.O. Box 218218, Houston, TX 77218; formerly, Grad. Student, Rice Univ., Houston, TX 77251.
J. P. Conte
Assoc. Prof., Dept. of Civ. and Envir. Engrg., Univ. of Calif., Los Angeles, CA 90095-1593; formerly at Rice Univ., Houston, TX 77251.

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